Instructions to use Prasann15479/LLM_Science_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prasann15479/LLM_Science_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Prasann15479/LLM_Science_1") model = AutoModelForMultipleChoice.from_pretrained("Prasann15479/LLM_Science_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d47fc354e0f89f231b07b4eebbb1170696325632cbd76410d7fe8ff399b4139
- Size of remote file:
- 1.74 GB
- SHA256:
- 883b4689a2a1b1f3a1b0456d1362de82eb814c802004fa164275cf3565e1672b
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