Instructions to use AJosh/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AJosh/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "AJosh/outputs") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AJosh/outputs: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/AJosh/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://AJosh/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AJosh/outputs/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 80064092ea7345647a33c8aacdbca9cb558abf94468f4576e675f4f3ba0d418c
- Size of remote file:
- 4.86 kB
- SHA256:
- 6d1e22f4c5e8e7577894ac9f5d85880cef3853328ca2b62211d1794ed88d44af
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