Instructions to use eceunal/gemma-3n-medical-qna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eceunal/gemma-3n-medical-qna with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eceunal/gemma-3n-medical-qna", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: eceunal
- License: apache-2.0
- Finetuned from model : unsloth/gemma-3n-E2B-it
This gemma3n model was trained 2x faster with Unsloth and Huggingface's TRL library.
Inference Providers NEW
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Model tree for eceunal/gemma-3n-medical-qna
Base model
google/gemma-3n-E4B Finetuned
google/gemma-3n-E4B-it Finetuned
google/gemma-3n-E2B-it Finetuned
unsloth/gemma-3n-E2B-it