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:
- 1938a3de247fc516bddb802f8818d1bb59a27796e76faa75f759ab7a5d7cb95f
- Size of remote file:
- 4.03 kB
- SHA256:
- 73a678ce749c60f5e44929d4d02123f240667b09ccba261e1c5f64b07ae9cbe9
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