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 training_args.bin from nlpunibo/distilbert_classifier2: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/nlpunibo/distilbert_classifier2/resolve/main/training_args.bin
- Command line
-
hf download hf://nlpunibo/distilbert_classifier2/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/nlpunibo/distilbert_classifier2/resolve/main/training_args.bin
2.1 kB
- Xet hash:
- 6a082cb0d8653e7f3baa33b973aaceb79294d8a82e57f4f3fbb22c4ea666c6ef
- Size of remote file:
- 2.1 kB
- SHA256:
- d599dc263e16710f4bf6ddffebdd01039d96a8a0772707d36aa954f391fb20b0
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