Instructions to use Defetya/roberta_smal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Defetya/roberta_smal with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Defetya/roberta_smal") model = AutoModelForMultipleChoice.from_pretrained("Defetya/roberta_smal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00001-of-00002.bin from Defetya/roberta_smal: direct link, hf CLI and curl.
- Browser
- Download file 5.33 GB
-
https://huggingface.co/Defetya/roberta_smal/resolve/dd7af0629a7470b6769608a067bce8bf2cd8fd1d/pytorch_model-00001-of-00002.bin
- Command line
-
hf download hf://Defetya/roberta_smal@dd7af0629a7470b6769608a067bce8bf2cd8fd1d/pytorch_model-00001-of-00002.bin
-
curl -L -o pytorch_model-00001-of-00002.bin https://huggingface.co/Defetya/roberta_smal/resolve/dd7af0629a7470b6769608a067bce8bf2cd8fd1d/pytorch_model-00001-of-00002.bin
5.33 GB
- Xet hash:
- a4161f5a3b3ce2ada0deffb0897ff2fc6dd73a89200b68372af07920f3cc019d
- Size of remote file:
- 5.33 GB
- SHA256:
- f0e4a31d234467e537e397718658523e1b46d4803777b72b6ea7da81467b5cb6
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