Instructions to use nlpunibo/distilbert_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/distilbert_classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertClassifier tokenizer = AutoTokenizer.from_pretrained("nlpunibo/distilbert_classifier") model = DistilBertClassifier.from_pretrained("nlpunibo/distilbert_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nlpunibo/distilbert_classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/nlpunibo/distilbert_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlpunibo/distilbert_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlpunibo/distilbert_classifier/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- e6e5e51d1983688eecf3a8eda87fc6006ef49767e59cf5bcc38530cfd735d199
- Size of remote file:
- 268 MB
- SHA256:
- 2e75bb8e897b70fdc9958d170de3caef6687291a4e7b2a7dac6cf6b56addf098
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