Instructions to use sadra-barikbin/V3_llama-3.2-3b-query-understandings_prompt_tiny_r_64_epoch_2_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sadra-barikbin/V3_llama-3.2-3b-query-understandings_prompt_tiny_r_64_epoch_2_ with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sadra-barikbin/V3_llama-3.2-3b-query-understandings_prompt_tiny_r_64_epoch_2_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sadra-barikbin/V3_llama-3.2-3b-query-understandings_prompt_tiny_r_64_epoch_2_: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/sadra-barikbin/V3_llama-3.2-3b-query-understandings_prompt_tiny_r_64_epoch_2_/resolve/main/training_args.bin
- Command line
-
hf download hf://sadra-barikbin/V3_llama-3.2-3b-query-understandings_prompt_tiny_r_64_epoch_2_/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sadra-barikbin/V3_llama-3.2-3b-query-understandings_prompt_tiny_r_64_epoch_2_/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- eb1d2ff29cfe00f83be8051d41604d3bf35d55c6141ef3139115ebda4477a102
- Size of remote file:
- 5.75 kB
- SHA256:
- b29f658541c7937722954f4b688e47feebbdcab5ad12ef2b71233c6f4283ae6d
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