Instructions to use dragonStyle/bert-303-step35000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dragonStyle/bert-303-step35000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("dragonStyle/bert-303-step35000") model = BertForCL.from_pretrained("dragonStyle/bert-303-step35000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from dragonStyle/bert-303-step35000: direct link, hf CLI and curl.
- Browser
- Download file 301 Bytes
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https://huggingface.co/dragonStyle/bert-303-step35000/resolve/main/README.md
- Command line
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hf download hf://dragonStyle/bert-303-step35000/README.md
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curl -L -o README.md https://huggingface.co/dragonStyle/bert-303-step35000/resolve/main/README.md
301 Bytes
| 这是一个git lfs项目。 | |
| 没有改造数据前的模型性能: | |
| knowledge points - max length is 1566, min length is 3, ave length is 87.96, 95% quantile is 490. | |
| question and answer - max length is 303, min length is 8, ave length is 47.09, 95% quantile is 119. | |
| 303精度为:2562/5232=48.97% | |