Instructions to use MrezaPRZ/codegemma-7b-llm_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/codegemma-7b-llm_all with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MrezaPRZ/codegemma-7b-llm_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MrezaPRZ/codegemma-7b-llm_all: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/MrezaPRZ/codegemma-7b-llm_all/resolve/main/tokenizer.json
- Command line
-
hf download hf://MrezaPRZ/codegemma-7b-llm_all/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MrezaPRZ/codegemma-7b-llm_all/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 008d4822ab0d3822f68f24ab3658be537a53572c1f128184433a75d10850ec2f
- Size of remote file:
- 34.4 MB
- SHA256:
- fceefaf317a857b20e9af28dc1f20021867d8ab8c6d30f772b5c7c526241ed6a
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