Instructions to use hf-tiny-model-private/tiny-random-ConvBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ConvBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 154dffd22ee7dd5f9edd31fdb3e69a08fd8caba42b448fa922c7b3a9f269f034
- Size of remote file:
- 5.48 MB
- SHA256:
- be7f751db961f9b3ed524d2af8d1b25756a65c2ba48417225c87fdc060048cb7
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