Instructions to use debjyoti007/new_doc_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debjyoti007/new_doc_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="debjyoti007/new_doc_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("debjyoti007/new_doc_classifier") model = AutoModelForSequenceClassification.from_pretrained("debjyoti007/new_doc_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from debjyoti007/new_doc_classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/debjyoti007/new_doc_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://debjyoti007/new_doc_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/debjyoti007/new_doc_classifier/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 20fb5ecc2ca8b47d42a986123789bedebe3b8bf5b6a267fa6c63d0f34d647bcc
- Size of remote file:
- 268 MB
- SHA256:
- 06162fb1fa1a2e4df6beb1ef4d82978c3fdc8a00fac5fb7596aaca00252226f3
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