Instructions to use hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78f5e8f4b8e85a8c469d9ba99b69f11aab781890cce8154f260b68786f7c851a
- Size of remote file:
- 373 kB
- SHA256:
- 58d35c4271d3dba965b15c8398c290aa920d888cb50fd5ca4f8c32528d16892f
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