Instructions to use mechark/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mechark/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "mechark/outputs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from mechark/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/mechark/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://mechark/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mechark/outputs/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- c9d6df84617af751c5941a06dbf8b62e79e4c9952a75d502364f90b9599cdbc5
- Size of remote file:
- 5.3 kB
- SHA256:
- 65f812ab14de6705ab7c2fd93b407c5256019da270f903ab42c79889bdbf1255
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