Instructions to use Raiff1982/codette-lora-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Raiff1982/codette-lora-adapters with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download multi_perspective/checkpoint-939/training_args.bin from Raiff1982/codette-lora-adapters: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/Raiff1982/codette-lora-adapters/resolve/main/multi_perspective/checkpoint-939/training_args.bin
- Command line
-
hf download hf://Raiff1982/codette-lora-adapters/multi_perspective/checkpoint-939/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Raiff1982/codette-lora-adapters/resolve/main/multi_perspective/checkpoint-939/training_args.bin
5.65 kB
- Xet hash:
- 94c26845f923de8a5d72c26fe4db03652442a701f13ed3932b94d620c94991d1
- Size of remote file:
- 5.65 kB
- SHA256:
- b553d221b8edba7787dfe0b6e2e263fd0dab651c55b646b7b9ab1f23a8f3e85b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.