Instructions to use nlpunibo/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertClassifier tokenizer = AutoTokenizer.from_pretrained("nlpunibo/classifier") model = DistilBertClassifier.from_pretrained("nlpunibo/classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nlpunibo/classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.29 kB
-
https://huggingface.co/nlpunibo/classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://nlpunibo/classifier/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/nlpunibo/classifier/resolve/main/training_args.bin
2.29 kB
- Xet hash:
- 29ca5dc490941456bb87c68dca9898a048eb0f42c32788d6541018ebfca60dae
- Size of remote file:
- 2.29 kB
- SHA256:
- dbc5f7e70c066e17c3d6ca95a85c19e97ee3f0a2fcfdc0995dac770a094e5777
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