Instructions to use mekpro/gemma-3n-botanist8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mekpro/gemma-3n-botanist8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mekpro/gemma-3n-botanist8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: mekpro
- License: apache-2.0
- Finetuned from model : unsloth/gemma-3n-E4B-it-litert-preview
This gemma3n model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for mekpro/gemma-3n-botanist8
Base model
google/gemma-3n-E4B-it-litert-preview Finetuned
unsloth/gemma-3n-E4B-it-litert-preview