Instructions to use owen99630/catexp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owen99630/catexp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("owen99630/catexp") model = RobertaForMultiLabelSequenceClassification.from_pretrained("owen99630/catexp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from owen99630/catexp: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/owen99630/catexp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://owen99630/catexp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/owen99630/catexp/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- 02dce2fb1595db308a88be918791a05bd63ffc0ca8e3229c45dcd958eeeb7003
- Size of remote file:
- 501 MB
- SHA256:
- a7359a64f7ac60b11e4347b3abdd42df81ae484eafb169932fb8d8078dcceebe
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