Instructions to use sagar213/gemma-4-E2B-it-unsloth-bnb-4bit-youtube-options-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagar213/gemma-4-E2B-it-unsloth-bnb-4bit-youtube-options-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sagar213/gemma-4-E2B-it-unsloth-bnb-4bit-youtube-options-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: sagar213
- License: apache-2.0
- Finetuned from model : unsloth/gemma-4-E2B-it-unsloth-bnb-4bit
This gemma4_text model was trained 2x faster with Unsloth
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Model tree for sagar213/gemma-4-E2B-it-unsloth-bnb-4bit-youtube-options-lora
Base model
google/gemma-4-E2B Finetuned
google/gemma-4-E2B-it Quantized
unsloth/gemma-4-E2B-it-unsloth-bnb-4bit