Instructions to use mtzig/joint_debug_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mtzig/joint_debug_test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/small-llama2") model = PeftModel.from_pretrained(base_model, "mtzig/joint_debug_test") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mtzig/joint_debug_test: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/mtzig/joint_debug_test/resolve/2688a1e41537a9a8d3ccc898e941c06a5055ff6d/training_args.bin
- Command line
-
hf download hf://mtzig/joint_debug_test@2688a1e41537a9a8d3ccc898e941c06a5055ff6d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mtzig/joint_debug_test/resolve/2688a1e41537a9a8d3ccc898e941c06a5055ff6d/training_args.bin
5.24 kB
- Xet hash:
- 66e2199242b2872f16269d7b80ed605bc23be5683171e74e2bb50e21d0c62a2a
- Size of remote file:
- 5.24 kB
- SHA256:
- 032bfa6cafac4a2016eb4e4278c0458271ec8fe881c8020a79618acdecbc2c8a
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