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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a42ed5f6139680b623fca51211b6cfd7985740fa353d11efc3a9031df7e74a6
- Size of remote file:
- 32.2 MB
- SHA256:
- e91699831ab689287846e88acef7adad742ff26127c4ad4b81f3858a9134c841
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