Instructions to use daze-unlv/FacebookAI-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daze-unlv/FacebookAI-xlm-roberta-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("daze-unlv/FacebookAI-xlm-roberta-base") model = AutoModelForMultipleChoice.from_pretrained("daze-unlv/FacebookAI-xlm-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1757c2f81583c24cb1e56eab772f00db1c0216cbb9108eb8848524fdeec42fc
- Size of remote file:
- 4.92 kB
- SHA256:
- 061ed5ccbb3402702d454e0e3a6a154b5c910c2d6f9d9971a0775835fc1b7103
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