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:
- 431823767fb4c7ab2a7cfd45582ba09c9f789cdafdb0cbef060005ae94aa3f84
- Size of remote file:
- 1.34 GB
- SHA256:
- a66638fec2d946d478424ffdc2380eee03cc867c330b451e725a6b6c40a2338c
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