Instructions to use thedeba/Crowl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thedeba/Crowl-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thedeba/Crowl-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from thedeba/Crowl-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/thedeba/Crowl-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://thedeba/Crowl-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thedeba/Crowl-lora/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- a82a18de7620216b87cfc1b2ad4531044a799b549ad0a0afe8d82b86b1674549
- Size of remote file:
- 5.91 kB
- SHA256:
- 9f75cafbb881e9669b2fbae3a3997b83576a8ec63eb47903a855c42d81475777
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