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:
- 68bd8eaad2f274bdddf511390121d0a9b3f72a39c1c0d55538c9b3be57eb81ba
- Size of remote file:
- 4.03 kB
- SHA256:
- 3e4311afb13f7195e3f0d45c6116efa83da5a3cca28c1f3638b2bb1219bdefb1
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