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:
- 0e3c08af2d368239ac5d8fa20ad55e1fc8ae9ccd0edbff2478839df4dc855a63
- Size of remote file:
- 5.36 MB
- SHA256:
- 41518f30b7a3e7699b1bd864f5e172ee568e0829c90f3f326d803d8a0c66b20b
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