初始化项目，由ModelHub XC社区提供模型
Model: TechxGenus-MS/starcoder2-7b-instruct Source: Original Platform
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README.md
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README.md
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---
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tags:
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- code
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- starcoder2
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library_name: transformers
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pipeline_tag: text-generation
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license: bigcode-openrail-m
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---
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<p align="center">
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<img width="300px" alt="starcoder2-instruct" src="https://huggingface.co/TechxGenus/starcoder2-7b-instruct/resolve/main/starcoder2-instruct.jpg">
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</p>
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### starcoder2-instruct
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We've fine-tuned starcoder2-7b with an additional 0.7 billion high-quality, code-related tokens for 3 epochs. We used DeepSpeed ZeRO 3 and Flash Attention 2 to accelerate the training process. It achieves **73.2 pass@1** on HumanEval-Python. This model operates using the Alpaca instruction format (excluding the system prompt).
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### Usage
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Here give some examples of how to use our model:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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PROMPT = """### Instruction
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{instruction}
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### Response
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"""
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instruction = <Your code instruction here>
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prompt = PROMPT.format(instruction=instruction)
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tokenizer = AutoTokenizer.from_pretrained("TechxGenus/starcoder2-7b-instruct")
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model = AutoModelForCausalLM.from_pretrained(
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"TechxGenus/starcoder2-7b-instruct",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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inputs = tokenizer.encode(prompt, return_tensors="pt")
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outputs = model.generate(input_ids=inputs.to(model.device), max_new_tokens=2048)
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print(tokenizer.decode(outputs[0]))
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```
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With text-generation pipeline:
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```python
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from transformers import pipeline
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import torch
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PROMPT = """### Instruction
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{instruction}
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### Response
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"""
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instruction = <Your code instruction here>
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prompt = PROMPT.format(instruction=instruction)
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generator = pipeline(
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model="TechxGenus/starcoder2-7b-instruct",
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task="text-generation",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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result = generator(prompt, max_length=2048)
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print(result[0]["generated_text"])
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```
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### Note
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Model may sometimes make errors, produce misleading contents, or struggle to manage tasks that are not related to coding. It has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.
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config.json
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config.json
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{
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"_name_or_path": "bigcode/starcoder2-7b",
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"activation_function": "gelu",
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"architectures": [
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"Starcoder2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bos_token_id": 0,
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"embedding_dropout": 0.0,
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"eos_token_id": 0,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 4608,
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"initializer_range": 0.018042,
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"intermediate_size": 18432,
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"layer_norm_epsilon": 1e-05,
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"mlp_type": "default",
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"model_type": "starcoder2",
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"norm_epsilon": 1e-05,
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"norm_type": "layer_norm",
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"num_attention_heads": 36,
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"num_hidden_layers": 32,
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"use_bias": true,
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"use_cache": false,
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"vocab_size": 49152
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}
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.c_fc.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.c_fc.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.c_proj.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.c_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.norm.bias": "model-00003-of-00003.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
64
special_tokens_map.json
Normal file
64
special_tokens_map.json
Normal file
@@ -0,0 +1,64 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|endoftext|>",
|
||||
"<fim_prefix>",
|
||||
"<fim_middle>",
|
||||
"<fim_suffix>",
|
||||
"<fim_pad>",
|
||||
"<repo_name>",
|
||||
"<file_sep>",
|
||||
"<issue_start>",
|
||||
"<issue_comment>",
|
||||
"<issue_closed>",
|
||||
"<jupyter_start>",
|
||||
"<jupyter_text>",
|
||||
"<jupyter_code>",
|
||||
"<jupyter_output>",
|
||||
"<jupyter_script>",
|
||||
"<empty_output>",
|
||||
"<code_to_intermediate>",
|
||||
"<intermediate_to_code>",
|
||||
"<pr>",
|
||||
"<pr_status>",
|
||||
"<pr_is_merged>",
|
||||
"<pr_base>",
|
||||
"<pr_file>",
|
||||
"<pr_base_code>",
|
||||
"<pr_diff>",
|
||||
"<pr_diff_hunk>",
|
||||
"<pr_comment>",
|
||||
"<pr_event_id>",
|
||||
"<pr_review>",
|
||||
"<pr_review_state>",
|
||||
"<pr_review_comment>",
|
||||
"<pr_in_reply_to_review_id>",
|
||||
"<pr_in_reply_to_comment_id>",
|
||||
"<pr_diff_hunk_comment_line>",
|
||||
"<NAME>",
|
||||
"<EMAIL>",
|
||||
"<KEY>",
|
||||
"<PASSWORD>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|endoftext|>",
|
||||
"unk_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
starcoder2-instruct.jpg
Normal file
BIN
starcoder2-instruct.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 107 KiB |
98421
tokenizer.json
Normal file
98421
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
357
tokenizer_config.json
Normal file
357
tokenizer_config.json
Normal file
@@ -0,0 +1,357 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<fim_prefix>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "<fim_middle>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"3": {
|
||||
"content": "<fim_suffix>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"4": {
|
||||
"content": "<fim_pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"5": {
|
||||
"content": "<repo_name>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"6": {
|
||||
"content": "<file_sep>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"7": {
|
||||
"content": "<issue_start>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"8": {
|
||||
"content": "<issue_comment>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"9": {
|
||||
"content": "<issue_closed>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"10": {
|
||||
"content": "<jupyter_start>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"11": {
|
||||
"content": "<jupyter_text>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"12": {
|
||||
"content": "<jupyter_code>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"13": {
|
||||
"content": "<jupyter_output>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"14": {
|
||||
"content": "<jupyter_script>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"15": {
|
||||
"content": "<empty_output>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"16": {
|
||||
"content": "<code_to_intermediate>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"17": {
|
||||
"content": "<intermediate_to_code>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"18": {
|
||||
"content": "<pr>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"19": {
|
||||
"content": "<pr_status>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"20": {
|
||||
"content": "<pr_is_merged>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"21": {
|
||||
"content": "<pr_base>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"22": {
|
||||
"content": "<pr_file>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"23": {
|
||||
"content": "<pr_base_code>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"24": {
|
||||
"content": "<pr_diff>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"25": {
|
||||
"content": "<pr_diff_hunk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"26": {
|
||||
"content": "<pr_comment>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"27": {
|
||||
"content": "<pr_event_id>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"28": {
|
||||
"content": "<pr_review>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"29": {
|
||||
"content": "<pr_review_state>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"30": {
|
||||
"content": "<pr_review_comment>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"31": {
|
||||
"content": "<pr_in_reply_to_review_id>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"32": {
|
||||
"content": "<pr_in_reply_to_comment_id>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"33": {
|
||||
"content": "<pr_diff_hunk_comment_line>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"34": {
|
||||
"content": "<NAME>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"35": {
|
||||
"content": "<EMAIL>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"36": {
|
||||
"content": "<KEY>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"37": {
|
||||
"content": "<PASSWORD>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|endoftext|>",
|
||||
"<fim_prefix>",
|
||||
"<fim_middle>",
|
||||
"<fim_suffix>",
|
||||
"<fim_pad>",
|
||||
"<repo_name>",
|
||||
"<file_sep>",
|
||||
"<issue_start>",
|
||||
"<issue_comment>",
|
||||
"<issue_closed>",
|
||||
"<jupyter_start>",
|
||||
"<jupyter_text>",
|
||||
"<jupyter_code>",
|
||||
"<jupyter_output>",
|
||||
"<jupyter_script>",
|
||||
"<empty_output>",
|
||||
"<code_to_intermediate>",
|
||||
"<intermediate_to_code>",
|
||||
"<pr>",
|
||||
"<pr_status>",
|
||||
"<pr_is_merged>",
|
||||
"<pr_base>",
|
||||
"<pr_file>",
|
||||
"<pr_base_code>",
|
||||
"<pr_diff>",
|
||||
"<pr_diff_hunk>",
|
||||
"<pr_comment>",
|
||||
"<pr_event_id>",
|
||||
"<pr_review>",
|
||||
"<pr_review_state>",
|
||||
"<pr_review_comment>",
|
||||
"<pr_in_reply_to_review_id>",
|
||||
"<pr_in_reply_to_comment_id>",
|
||||
"<pr_diff_hunk_comment_line>",
|
||||
"<NAME>",
|
||||
"<EMAIL>",
|
||||
"<KEY>",
|
||||
"<PASSWORD>"
|
||||
],
|
||||
"bos_token": "<|endoftext|>",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": "<|endoftext|>",
|
||||
"vocab_size": 49152
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user