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Model: souljoy/gpt2-small-chinese-cluecorpussmall
Source: Original Platform

.gitattributes

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README.md

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+---
+language: zh
+datasets:
+- clue
+widget:
+- text: 这是很久之前的事情了
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+
+# Chinese GPT2 Model
+
+## Model description
+
+The model is used to generate Chinese texts. 
+## How to use
+
+You can use the model directly with a pipeline for text generation:
+
+```python
+>>> from transformers import BertTokenizer, GPT2LMHeadModel, TextGenerationPipeline
+>>> tokenizer = BertTokenizer.from_pretrained("uer/gpt2-chinese-cluecorpussmall")
+>>> model = GPT2LMHeadModel.from_pretrained("uer/gpt2-chinese-cluecorpussmall")
+>>> text_generator = TextGenerationPipeline(model, tokenizer)   
+>>> text_generator("这是很久之前的事情了", max_length=100, do_sample=True)
+    [{'generated_text': '这是很久之前的事情了 。 至 今 仍 留 在 我 身 上 ， 我 记 忆 犹 新 。 在 接 受 记 者 采 访 时 ， 杨 杰 表 白 了 ， 当 初 有 没 有 见 过 我 ， 我 不 认 为 他 们 是 不 合 适 的 人 。 虽 然 当 时 他 们 不 信 我 ， 但 杨 杰 表 示 ， 感 觉 那 个 时 候 感 觉 是 好 想 听 他 们 说 话 ，'}]
+
+```
+
+## Training data
+
+[CLUECorpusSmall](https://github.com/CLUEbenchmark/CLUECorpus2020/) is used as training data.

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "embd_pdrop": 0.1,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "n_positions": 1024,
+  "output_past": true,
+  "resid_pdrop": 0.1,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 400
+    }
+  },
+  "tokenizer_class": "BertTokenizer",
+  "vocab_size": 21128
+}

model.safetensors

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pytorch_model.bin

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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 1024}