Instructions to use hf-internal-testing/tiny-random-RoCBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RoCBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoCBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-RoCBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0a0be37b5092fd015c2adf00f5a76f7d31ccab3cd854874361fd7967f5128bc
- Size of remote file:
- 2.98 MB
- SHA256:
- d62a9fa83ee113e405f6c37b23f39502898fe37b01757efb2756305b5900cbba
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