48 lines
1.0 KiB
Markdown
48 lines
1.0 KiB
Markdown
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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library_name: transformers
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base_model: bfuzzy1/acheron-d
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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datasets:
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- eth-dl-rewards/math-problems-for-sft
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---
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# The M is for Math.
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model_path = "bfuzzy1/acheron-m"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto',
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trust_remote_code=True
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)
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messages = [
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{"role": "user", "content": "What's 2 + 2 -3?"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(
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input_ids.to('mps' if torch.backends.mps.is_available() else 'cpu'),
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max_new_tokens=100
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)
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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print(response)
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```
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