Instructions to use hf-tiny-model-private/tiny-random-BertForMultipleChoice 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-BertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-BertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48415af98a8a374520c75db43d83694242a3557a7e3e331807a11c265156f95c
- Size of remote file:
- 481 kB
- SHA256:
- 606c9b2bf89d93ad830b8c18f61ec8d5e9a98a1f40aea500870d8bbe0d20e2aa
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