Instructions to use afrias5/codeGemma-7bFeed-70 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/codeGemma-7bFeed-70 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "afrias5/codeGemma-7bFeed-70") - Notebooks
- Google Colab
- Kaggle
Download rng_state_0.pth from afrias5/codeGemma-7bFeed-70: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/afrias5/codeGemma-7bFeed-70/resolve/main/rng_state_0.pth
- Command line
-
hf download hf://afrias5/codeGemma-7bFeed-70/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/afrias5/codeGemma-7bFeed-70/resolve/main/rng_state_0.pth
14.5 kB
- Xet hash:
- 8b19ffe31f247a4b6ac914c3e0d9420f93a325daa4457ebfc2e325204eb61bdd
- Size of remote file:
- 14.5 kB
- SHA256:
- f0bd6e4314159141c3ee199a2b745518c50d1a92c13c34d9d84bedc611464ea3
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