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:
- 706c29debb86d3119d068723d527787bdc7bcf28f0b4408e6a64e711d0a2b012
- Size of remote file:
- 463 kB
- SHA256:
- 94268dbe089f1854c9ac291312353c81b864b3fabe9c6f6badf4b93b8b360421
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