Instructions to use LDD/bert_wwm_new_ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LDD/bert_wwm_new_ext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LDD/bert_wwm_new_ext")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LDD/bert_wwm_new_ext") model = AutoModel.from_pretrained("LDD/bert_wwm_new_ext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from LDD/bert_wwm_new_ext: direct link, hf CLI and curl.
- Browser
- Download file 61 Bytes
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https://huggingface.co/LDD/bert_wwm_new_ext/resolve/main/README.md
- Command line
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hf download hf://LDD/bert_wwm_new_ext/README.md
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curl -L -o README.md https://huggingface.co/LDD/bert_wwm_new_ext/resolve/main/README.md
61 Bytes
在LDD/wwm的基础上进行新闻语料库的增量预训练