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 training_args.bin from owen99630/catexp: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/owen99630/catexp/resolve/main/training_args.bin
- Command line
-
hf download hf://owen99630/catexp/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/owen99630/catexp/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 9bfba1eb5c19895e9409694745b5f7ab7bc2e05908ba6c0b1078005c7c173a69
- Size of remote file:
- 2.99 kB
- SHA256:
- 3ce85e0f40402828049238da313ad4b732e6efa682dca78dfe6fed583681441e
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