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-00002-of-00002.bin from Defetya/roberta_smal: direct link, hf CLI and curl.
- Browser
- Download file 1.64 GB
-
https://huggingface.co/Defetya/roberta_smal/resolve/dd7af0629a7470b6769608a067bce8bf2cd8fd1d/pytorch_model-00002-of-00002.bin
- Command line
-
hf download hf://Defetya/roberta_smal@dd7af0629a7470b6769608a067bce8bf2cd8fd1d/pytorch_model-00002-of-00002.bin
-
curl -L -o pytorch_model-00002-of-00002.bin https://huggingface.co/Defetya/roberta_smal/resolve/dd7af0629a7470b6769608a067bce8bf2cd8fd1d/pytorch_model-00002-of-00002.bin
1.64 GB
- Xet hash:
- 045638e089dbb1994411388e435b1c1ff93c6d40225560690ec1a278908fb522
- Size of remote file:
- 1.64 GB
- SHA256:
- 833286d83cb0a4a6de6ea32842e6e9372caa021882e93e0973a275956e66f602
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