Instructions to use sadra-barikbin/V3_Qwen2.5-3b-query-understandings_prompt_tiny_improved_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_Qwen2.5-3b-query-understandings_prompt_tiny_improved_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_Qwen2.5-3b-query-understandings_prompt_tiny_improved_r_64_epoch_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sadra-barikbin/V3_Qwen2.5-3b-query-understandings_prompt_tiny_improved_r_64_epoch_2: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/sadra-barikbin/V3_Qwen2.5-3b-query-understandings_prompt_tiny_improved_r_64_epoch_2/resolve/main/training_args.bin
- Command line
-
hf download hf://sadra-barikbin/V3_Qwen2.5-3b-query-understandings_prompt_tiny_improved_r_64_epoch_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sadra-barikbin/V3_Qwen2.5-3b-query-understandings_prompt_tiny_improved_r_64_epoch_2/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- cdcb0493d4da7966d69f20d2ce9b252985764c315fef66499f83bc864c3e8cea
- Size of remote file:
- 5.75 kB
- SHA256:
- 1bcf74d699392f7ca4c88aad21e2089bf5fea31ee3567864ba6d93848b282978
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