Instructions to use PaulD/checkpoint-4799 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaulD/checkpoint-4799 with Transformers:
# Load model directly from transformers import AutoTokenizer, RelationPT tokenizer = AutoTokenizer.from_pretrained("PaulD/checkpoint-4799") model = RelationPT.from_pretrained("PaulD/checkpoint-4799", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +0 -0
- pytorch_model.bin +3 -0
config.json
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0729c7b1fcebce8f74651ffcdcb3be6e4ec6d1013b472e12d4794b3523d685a3
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size 476049983
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