Instructions to use nandezgarcia/roberta-base-bne-finetuned-recores-long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nandezgarcia/roberta-base-bne-finetuned-recores-long with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("nandezgarcia/roberta-base-bne-finetuned-recores-long") model = AutoModelForMultipleChoice.from_pretrained("nandezgarcia/roberta-base-bne-finetuned-recores-long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nandezgarcia/roberta-base-bne-finetuned-recores-long: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/nandezgarcia/roberta-base-bne-finetuned-recores-long/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nandezgarcia/roberta-base-bne-finetuned-recores-long/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nandezgarcia/roberta-base-bne-finetuned-recores-long/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- e4dc120507cb6d691ba80a40301f875612b423b40518f5e050df04b6d4b003ce
- Size of remote file:
- 499 MB
- SHA256:
- d027af7675629ddf70f17fb599048b3541c056fb0f496ce872424c50873845fd
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