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:
- ae022ff43fdc6de4d13885915deae0487a10532414b5bbfa3a650a412122e2ae
- Size of remote file:
- 8.99 MB
- SHA256:
- 04d229a64b863e7811c1f6faca1c802c6b65b1113f25672f51fb0fcba495871b
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