Instructions to use hf-internal-testing/tiny-random-DistilBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DistilBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DistilBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-DistilBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 444478b86028a79c556e66ae4cef41967f06fc61ea4a3d855c740f37a2a7dedd
- Size of remote file:
- 378 kB
- SHA256:
- 27f6f4419ffabc9535f44a0191c3d7f6b483c6fc4fdef1d3fd2e2dba4ffe608d
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