init project
Browse filesSigned-off-by: mymusise <mymusise1@gmail.com>
- README.md +51 -0
- config.json +36 -0
- spiece.model +3 -0
README.md
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---
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language: zh
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widget:
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- text: "今天是下雨天"
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- text: "走向森林"
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---
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<h1 align="center">
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CPM
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</h1>
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CPM(Chinese Pre-Trained Language Models), which has 2.6B parameters, made by the research team of Beijing Zhiyuan Institute of artificial intelligence and Tsinghua University @TsinghuaAI.
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[repo: CPM-Generate](https://github.com/TsinghuaAI/CPM-Generate)
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The One Thing You Need to Know is this model is not uploaded by official, the conver script is [here](https://github.com/mymusise/CPM-TF2Transformer/blob/main/transfor_CMP.ipynb)
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# Overview
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- **Language model**: CPM
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- **Model size**: 2.6B parameters
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- **Language**: Chinese
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# How to use
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How to use this model directly from the 🤗/transformers library:
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```python
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from transformers import XLNetTokenizer, TFGPT2LMHeadModel
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tokenizer = XLNetTokenizer.from_pretrained('mymusise/CPM-Third-Party')
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model = TFGPT2LMHeadModel.from_pretrained("mymusise/CPM-Third-Party")
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```
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How to generate text
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```python
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from transformers import TextGenerationPipeline
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text_generater = TextGenerationPipeline(model, tokenizer)
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display(text_generater('今天天气不错', max_length=20))
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display(text_generater('今天天气不错', max_length=20, do_sample=True, top_k=10, top_p=0.95))
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display(text_generater('今天天气不错', max_length=20, do_sample=True, top_k=10, top_p=0.95, repetition_penalty=2))
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display(text_generater('天下武功, 唯快不破', max_length=30))
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display(text_generater('天下武功, 唯快不破', max_length=30, do_sample=True, top_k=10))
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```
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![avatar](https://github.com/mymusise/CPM-TF2Transformer/raw/main/example-cpm.png)
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config.json
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{
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"activation_function": "gelu",
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"architectures": [
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"TFGPT2LMHeadModel"
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],
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"attn_pdrop": 0.0,
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"bos_token_id": 50256,
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"embd_pdrop": 0.0,
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"eos_token_id": 50256,
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"gradient_checkpointing": false,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 2560,
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"n_head": 32,
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"n_inner": null,
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"n_layer": 32,
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"n_positions": 1024,
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"pad_token_id": 0,
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"resid_pdrop": 0.0,
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"summary_activation": null,
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"summary_first_dropout": 0.0,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 120
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}
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},
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"tokenizer_class": "XLNetTokenizer",
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"use_cache": true,
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"vocab_size": 30000
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:25c1d178d54901291c1735cd2ae0788be90df4de01fb445e8a8a998cab35ba43
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size 713229
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