Instructions to use zera09/Bart_classifier_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zera09/Bart_classifier_3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zera09/Bart_classifier_3") model = AutoModelForSeq2SeqLM.from_pretrained("zera09/Bart_classifier_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zera09/Bart_classifier_3: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/zera09/Bart_classifier_3/resolve/main/training_args.bin
- Command line
-
hf download hf://zera09/Bart_classifier_3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zera09/Bart_classifier_3/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 7a63aeae2136ddfc1038b453d8bba994bfaa005c9f97b7df77e92d9cd7c1abd1
- Size of remote file:
- 5.05 kB
- SHA256:
- 875c58c81fe3a077382cb6aced8eba1fd701935da9cdb781f7c7713d4ec8a6d9
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