Instructions to use hf-tiny-model-private/tiny-random-XmodForMultipleChoice 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-XmodForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XmodForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-XmodForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7029875501fe2d3db7aaf35be2f0a15ad6ffdea4ca81c5d86c21333f98fade31
- Size of remote file:
- 32.3 MB
- SHA256:
- 589db0457c5b0aad5abbd599a22682a10fe1b820ca4f9ddeea5ee2438d01ee2c
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