Instructions to use Prasann15479/LLM_Science_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prasann15479/LLM_Science_3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Prasann15479/LLM_Science_3") model = AutoModelForMultipleChoice.from_pretrained("Prasann15479/LLM_Science_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Prasann15479/LLM_Science_3: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/Prasann15479/LLM_Science_3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Prasann15479/LLM_Science_3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Prasann15479/LLM_Science_3/resolve/main/pytorch_model.bin
1.74 GB
- Xet hash:
- 8eeb9cf37267522086ece26fc8ef571da3304779d7df81ba02570b82b505a148
- Size of remote file:
- 1.74 GB
- SHA256:
- d0d88c524f6a4fe333c05bcea8ac43e8ea8ecb06ab1abc20420e37c461315b4a
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