Instructions to use daze-unlv/facebook-data2vec-text-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daze-unlv/facebook-data2vec-text-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("daze-unlv/facebook-data2vec-text-base") model = AutoModelForMultipleChoice.from_pretrained("daze-unlv/facebook-data2vec-text-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from daze-unlv/facebook-data2vec-text-base: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/daze-unlv/facebook-data2vec-text-base/resolve/main/training_args.bin
- Command line
-
hf download hf://daze-unlv/facebook-data2vec-text-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/daze-unlv/facebook-data2vec-text-base/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 4f9ce10c630b0419c49190308282ae8b7b18724037ddc3a0cecb3bd31bfa4214
- Size of remote file:
- 4.92 kB
- SHA256:
- e21def54e5306253d3a21e0a0481871630f3db78e05bf4fee84250f56385ebf1
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