Instructions to use studio-ousia/luke-large-finetuned-open-entity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use studio-ousia/luke-large-finetuned-open-entity with Transformers:
# Load model directly from transformers import AutoTokenizer, LukeForEntityClassification tokenizer = AutoTokenizer.from_pretrained("studio-ousia/luke-large-finetuned-open-entity") model = LukeForEntityClassification.from_pretrained("studio-ousia/luke-large-finetuned-open-entity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from studio-ousia/luke-large-finetuned-open-entity: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/studio-ousia/luke-large-finetuned-open-entity/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://studio-ousia/luke-large-finetuned-open-entity/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/studio-ousia/luke-large-finetuned-open-entity/resolve/main/pytorch_model.bin
2.24 GB
- Xet hash:
- 21ab91ed6a6a1278d07464976a7be42986a5300662f7cfaa0562da3b03a6a739
- Size of remote file:
- 2.24 GB
- SHA256:
- 884934fc02bc6d6cdf5be8a193c78c8c4b75c00f7e5c9624f061db8513000ef4
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