Instructions to use clw8998/NER_CLUE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clw8998/NER_CLUE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("clw8998/NER_CLUE") model = AutoModelForSeq2SeqLM.from_pretrained("clw8998/NER_CLUE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from clw8998/NER_CLUE: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/clw8998/NER_CLUE/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://clw8998/NER_CLUE/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/clw8998/NER_CLUE/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 15b18d4b8cbc50fee51008347a35dc02f49b7e1961bed4c744014c384b42dffb
- Size of remote file:
- 990 MB
- SHA256:
- 979ea4504f200fffe8eaf8bb1df27b48ce2d3a20a652e2dbdab3c2c863e9126a
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