Instructions to use Zacktree/code-bench-CodeGemma-7B-cgv1-ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zacktree/code-bench-CodeGemma-7B-cgv1-ds with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "Zacktree/code-bench-CodeGemma-7B-cgv1-ds") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Zacktree/code-bench-CodeGemma-7B-cgv1-ds: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds/resolve/main/tokenizer.json
- Command line
-
hf download hf://Zacktree/code-bench-CodeGemma-7B-cgv1-ds/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 59263736a15dddcb4702739c2eb60d025b4c29635203f4e6b34792e5def64880
- Size of remote file:
- 17.5 MB
- SHA256:
- ee3877358807801b23e0b9460f817d4ddeae194eedd21b4ffb7ecfa4ea9c8867
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