Instructions to use hf-tiny-model-private/tiny-random-RemBertForMultipleChoice 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-RemBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb6902e8853a150eeecfd22457b8bf65796ecbe0cc925517c499bd4d04117025
- Size of remote file:
- 18.3 MB
- SHA256:
- 99cd4393fefc631ff339c6451028b4884be1650c2917dfbe0dab01fb270a55f5
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