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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1120846d3d813af7582415f1ce15d5dffcf29cd04afbefd7097d2fd2e094bb3a
- Size of remote file:
- 8.97 MB
- SHA256:
- 4489cbc6f30aacf4132a8a07d0f05fe89640b0cbca3ee0df78ca61b7e4a8b469
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