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:
- 308db70d3320d8b9bbb5cfe81f60025a9d18adb37efb2458972817adba2bd353
- Size of remote file:
- 385 kB
- SHA256:
- 2308fa4cc02d1aea414a4eec49de1f891d79bed0560e6675f868869dc13697d3
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