Instructions to use IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, BertSoftmaxForNer tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese") model = BertSoftmaxForNer.from_pretrained("IDEA-CCNL/Erlangshen-DeBERTa-v2-97M-CWS-Chinese") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3676bba9d801cfc4f183ac5943110c2a4f3e03de8c993376230ac95ca3ca9d77
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size 388329380
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