Instructions to use nlpunibo/distilbert_classifier2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/distilbert_classifier2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertClassifier tokenizer = AutoTokenizer.from_pretrained("nlpunibo/distilbert_classifier2") model = DistilBertClassifier.from_pretrained("nlpunibo/distilbert_classifier2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nlpunibo/distilbert_classifier2: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/nlpunibo/distilbert_classifier2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlpunibo/distilbert_classifier2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlpunibo/distilbert_classifier2/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 8da7f669807aee320010835c7f068bbe4e09e102b85cbdf66f1faaa38ca27a71
- Size of remote file:
- 268 MB
- SHA256:
- 953a0fabb156430c84c6e98304ec672964a9dd13fd4ecca61b383686deaf89e4
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