Instructions to use subham8247/relation-extraction-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subham8247/relation-extraction-baseline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, LongformerForRelationExtraction tokenizer = AutoTokenizer.from_pretrained("subham8247/relation-extraction-baseline") model = LongformerForRelationExtraction.from_pretrained("subham8247/relation-extraction-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from subham8247/relation-extraction-baseline: direct link, hf CLI and curl.
- Browser
- Download file 1.19 GB
-
https://huggingface.co/subham8247/relation-extraction-baseline/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://subham8247/relation-extraction-baseline/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/subham8247/relation-extraction-baseline/resolve/main/pytorch_model.bin
1.19 GB
- Xet hash:
- 11242894aa85ea3b7d5a5070300a1a2df0e2426b9fe58018f22c060a66a08ed9
- Size of remote file:
- 1.19 GB
- SHA256:
- 9f4c4299f7f6b4dc3c5f89c6b9022de87fdb91b727911b4db6fc300f58cd611c
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