Instructions to use hf-tiny-model-private/tiny-random-FunnelForMultipleChoice 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-FunnelForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FunnelForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-FunnelForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b78f62f61e120d79a069a77572a3da5a8c6ab5b79e2c3bb95e3577e3134b6b84
- Size of remote file:
- 304 kB
- SHA256:
- 178e95b0c6b01df7c32b2e169227e7310430ca66d866c60ec86dad095955c36f
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