Instructions to use nttx/ab781386-fff3-4ced-9c32-7479fbae05b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/ab781386-fff3-4ced-9c32-7479fbae05b8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "nttx/ab781386-fff3-4ced-9c32-7479fbae05b8") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nttx/ab781386-fff3-4ced-9c32-7479fbae05b8: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nttx/ab781386-fff3-4ced-9c32-7479fbae05b8/resolve/main/training_args.bin
- Command line
-
hf download hf://nttx/ab781386-fff3-4ced-9c32-7479fbae05b8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nttx/ab781386-fff3-4ced-9c32-7479fbae05b8/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 20578ce0860276dff562b5c3cdcdef343e8e6b2d63414618ed54c9936fbdb6d1
- Size of remote file:
- 6.78 kB
- SHA256:
- 90c9ae3f93ecb0cf076d582aa2be18d970874f1868f8edb57cc50c853576fdf4
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