Instructions to use hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice 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-DistilBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e474fcd9b63f682fd3511102bea3adf8c5becb32505f37d7e74c15902e1d58d9
- Size of remote file:
- 463 kB
- SHA256:
- 7e13cd5f0d61ffbf6db90d8857b685b175414bd30d3bc7f62f00222fbecc3e74
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