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:
- 683ddc3b5b5c4785b9f1cde99c768f7744df9525e0043eebb74dedce1c9a1429
- Size of remote file:
- 1.34 GB
- SHA256:
- ddfe6cdae6748eae3cf967664bb80d2b3ce093e06bfa82ae75904fedf6c06590
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