Instructions to use hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice 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-FlaubertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-FlaubertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e02df2e8e5e1041e484738d9f424656f6984e803ddfb9c27a6f4e931d68b0f8
- Size of remote file:
- 9.07 MB
- SHA256:
- 295361719c888b533efcfcce04c096877c415e0b9bb0582081fd76549ef755a0
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