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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91f9f266ea178f79dfeae82fa2b44580526e1d1026b4a30eac175088e9cb241b
- Size of remote file:
- 5.34 MB
- SHA256:
- f90334fad2b77da13f14ab386bdd493e6d99d4529517f0d5abdc065102be1f5a
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