Instructions to use thedeba/debaiv2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thedeba/debaiv2-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thedeba/debaiv2-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from thedeba/debaiv2-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/thedeba/debaiv2-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://thedeba/debaiv2-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thedeba/debaiv2-lora/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 3ee3ccd78b982fa337f3ac571b41a833af44063c0a80f03abedc20838dbbf128
- Size of remote file:
- 5.91 kB
- SHA256:
- 02fdd50a660fdfccef19b1af29690d34098c7a9b02e7600b1bd1a116fc2056d7
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