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:
- 7bfe7ded9fc35678523959cde7ee89d8c11ea6514672f0f16df0203f1ad61fd0
- Size of remote file:
- 4.03 kB
- SHA256:
- 33f49d7f12a5d32c5723f6c2ade807c15879c3511ae4e3c411bbde5a3cf76103
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