Instructions to use studio-ousia/luke-large-finetuned-conll-2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use studio-ousia/luke-large-finetuned-conll-2003 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, LukeForEntitySpanClassification tokenizer = AutoTokenizer.from_pretrained("studio-ousia/luke-large-finetuned-conll-2003") model = LukeForEntitySpanClassification.from_pretrained("studio-ousia/luke-large-finetuned-conll-2003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from studio-ousia/luke-large-finetuned-conll-2003: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/studio-ousia/luke-large-finetuned-conll-2003/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://studio-ousia/luke-large-finetuned-conll-2003/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/studio-ousia/luke-large-finetuned-conll-2003/resolve/main/pytorch_model.bin
2.24 GB
- Xet hash:
- 4617c709bffc4fe17dc7259756256d45c261bdc279379b77308b0a4a0c47aa07
- Size of remote file:
- 2.24 GB
- SHA256:
- 9c1f6d9a1c97efc26a3c4762de7501237b80b516d892e9d295cc63a97866fe41
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