Instructions to use sagnikrayc/roberta-base-fever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagnikrayc/roberta-base-fever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sagnikrayc/roberta-base-fever")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sagnikrayc/roberta-base-fever") model = AutoModelForSequenceClassification.from_pretrained("sagnikrayc/roberta-base-fever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sagnikrayc/roberta-base-fever: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/sagnikrayc/roberta-base-fever/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sagnikrayc/roberta-base-fever/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sagnikrayc/roberta-base-fever/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 68e2b76ec0443f9a9f89865495b2a786772c25bca53ccc9386f03b0613d6e428
- Size of remote file:
- 499 MB
- SHA256:
- 87438f91be191821f524f70c8abe381254467a8f951342677089c4ede27526eb
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