Instructions to use faridlazuarda/valadapt-gemma-2-9b-it-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use faridlazuarda/valadapt-gemma-2-9b-it-arabic with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "faridlazuarda/valadapt-gemma-2-9b-it-arabic") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from faridlazuarda/valadapt-gemma-2-9b-it-arabic: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/faridlazuarda/valadapt-gemma-2-9b-it-arabic/resolve/main/rng_state.pth
- Command line
-
hf download hf://faridlazuarda/valadapt-gemma-2-9b-it-arabic/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/faridlazuarda/valadapt-gemma-2-9b-it-arabic/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- fd62074ae4abab2eb4a95f02f1b69f41d163f092fe809840c3ca2b2143bae8cc
- Size of remote file:
- 14.2 kB
- SHA256:
- 91e55d1ed0d033e2c9661dc247ee4414532721e92046d1c8f82738ed4390c787
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