Instructions to use Blitock/ifttt-codegemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Blitock/ifttt-codegemma with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "Blitock/ifttt-codegemma") - Notebooks
- Google Colab
- Kaggle
Download codegemma/checkpoint-225/optimizer.pt from Blitock/ifttt-codegemma: direct link, hf CLI and curl.
- Browser
- Download file 400 MB
-
https://huggingface.co/Blitock/ifttt-codegemma/resolve/main/codegemma/checkpoint-225/optimizer.pt
- Command line
-
hf download hf://Blitock/ifttt-codegemma/codegemma/checkpoint-225/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Blitock/ifttt-codegemma/resolve/main/codegemma/checkpoint-225/optimizer.pt
400 MB
- Xet hash:
- 1b12d02f20851f85ced77202dc07a6f7819a406f9217e38d7804ad85ea30da0b
- Size of remote file:
- 400 MB
- SHA256:
- 204665cbebca20b8555c759b00d8cdcd12ef4ca994c7afd068d6f40867477990
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