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:
- dd5f8d8fb4bcf677bab33922009a2187a9f9478f357f0df76225b589d17e5183
- Size of remote file:
- 473 kB
- SHA256:
- 9723d49acb00785c664df23512793d3fd3f90c29fd1cd2358b3468a4bdb0496e
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