Instructions to use hf-internal-testing/tiny-random-FlaubertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FlaubertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FlaubertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-FlaubertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a0a1642a206bb4843e1386bcae82cee25a2e8992a4e0a68c985435ba7240df
- Size of remote file:
- 9.07 MB
- SHA256:
- 4c9612cecce1ffcbb011c492e63688980bcb4ea8c0c7823fb0adf5092324f4fe
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