Instructions to use zeetroid/code-bench-CodeGemma-7BIT-cg-nv9n_it_fs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zeetroid/code-bench-CodeGemma-7BIT-cg-nv9n_it_fs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b-it") model = PeftModel.from_pretrained(base_model, "zeetroid/code-bench-CodeGemma-7BIT-cg-nv9n_it_fs") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zeetroid/code-bench-CodeGemma-7BIT-cg-nv9n_it_fs: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/zeetroid/code-bench-CodeGemma-7BIT-cg-nv9n_it_fs/resolve/main/tokenizer.json
- Command line
-
hf download hf://zeetroid/code-bench-CodeGemma-7BIT-cg-nv9n_it_fs/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zeetroid/code-bench-CodeGemma-7BIT-cg-nv9n_it_fs/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- fcbf5f4d2965bf3efaac1ef78a81b006913adb8f1c4200d111a909fd7d9da2b0
- Size of remote file:
- 17.5 MB
- SHA256:
- 533ca707d58b00374853467fa94a443a2fb3a4cccf3bbd3e500c907bd7017f53
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