Instructions to use eskayML/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eskayML/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "eskayML/outputs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from eskayML/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/eskayML/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://eskayML/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eskayML/outputs/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- be7005dbffa8a3c223538bddcabfbca7f0ac7977f0747f45e7fbec1512c9aae3
- Size of remote file:
- 5.37 kB
- SHA256:
- 3b082d8210e625ced56928df79109c62fe4f4150cf549b99a36f20c0a4ac5a92
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