Instructions to use omkar334/codegemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omkar334/codegemma with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("omkar334/codegemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from omkar334/codegemma: direct link, hf CLI and curl.
- Browser
- Download file 577 Bytes
-
https://huggingface.co/omkar334/codegemma/resolve/main/README.md
- Command line
-
hf download hf://omkar334/codegemma/README.md
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curl -L -o README.md https://huggingface.co/omkar334/codegemma/resolve/main/README.md
577 Bytes
metadata
base_model: unsloth/gemma-2-2b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma2
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: omkar334
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2-2b-bnb-4bit
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
