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:
- f4b9e1f2a504bf5062e244f2c972ef9f992b3d6069afe3363a38a93c2396971b
- Size of remote file:
- 376 kB
- SHA256:
- 17f72ed739382f624d156bfa3263c00e8c25c6b68e3368e1c001d704e865268a
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