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 training_args.bin from Prasann15479/LLM_Science_3: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Prasann15479/LLM_Science_3/resolve/main/training_args.bin
- Command line
-
hf download hf://Prasann15479/LLM_Science_3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Prasann15479/LLM_Science_3/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- eecb6ca0126fc53fe292237c5f9ec6761bdfb7930c498ddce46a22f6086b8e43
- Size of remote file:
- 4.03 kB
- SHA256:
- c24b2f0dae104799a3af86840b2b3730228784c22a7da2a1687cb839e2e2a3c4
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