Instructions to use nttx/cc720e48-7cff-46d1-bb96-02a3d2d43e10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/cc720e48-7cff-46d1-bb96-02a3d2d43e10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "nttx/cc720e48-7cff-46d1-bb96-02a3d2d43e10") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from nttx/cc720e48-7cff-46d1-bb96-02a3d2d43e10: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/nttx/cc720e48-7cff-46d1-bb96-02a3d2d43e10/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://nttx/cc720e48-7cff-46d1-bb96-02a3d2d43e10/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/nttx/cc720e48-7cff-46d1-bb96-02a3d2d43e10/resolve/main/last-checkpoint/optimizer.pt
440 MB
- Xet hash:
- 07457326fb1f1ba9470b5432f46880b6c0fda090b7f96ae5b9b27d4bf2d97522
- Size of remote file:
- 440 MB
- SHA256:
- fe1bcf98db08894643365c8ab9f571205209871bf97dfb91d33e31432c179d0f
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