Instructions to use hf-internal-testing/tiny-random-MegatronBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegatronBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 560d63dc2237d069bbc19766ecb923992fac8948249fdbd153e956c4917c1dc2
- Size of remote file:
- 907 kB
- SHA256:
- 3f1af9149e46a66d80efcbf824b51e86cceba9a1ae6c88b181319a91b1e8f812
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