Instructions to use ydshieh/tiny-random-DebertaV2ForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-DebertaV2ForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-DebertaV2ForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("ydshieh/tiny-random-DebertaV2ForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e46dbbce6e88035064b368135cf8a1dc698fcc1cc2df0fe1459e694ec751b2f
- Size of remote file:
- 371 kB
- SHA256:
- d5072ffd479879c3a6c34007cf04855375fa06f97185c29683b5dbc9e6a10c44
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