Instructions to use vuminhtue/LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuminhtue/LLM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("vuminhtue/LLM") model = AutoModelForMultipleChoice.from_pretrained("vuminhtue/LLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7314766e9a7dab03ba33c422006d51de55ced8839ccfe5906ca46f4692d71b68
- Size of remote file:
- 438 MB
- SHA256:
- 132827dc5de7fee2d1a8599e51cdf65c9873b688aa96636cec2dfb2da1642e6e
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