Instructions to use hf-internal-testing/tiny-random-ConvBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ConvBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-ConvBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9e0b4dfa0b67073006d0feea2b19d22133b06d97004d640bb76b2f7dbb05a0d
- Size of remote file:
- 5.48 MB
- SHA256:
- 169080521c7cd2871f37403fe8184dfbd2916d441ff149ce41c5e301c88b1e13
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