Instructions to use asatwik218/gemma-split-extract-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asatwik218/gemma-split-extract-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("asatwik218/gemma-split-extract-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
metadata
base_model: unsloth/gemma-4-e2b-it-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma4
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: asatwik218
- License: apache-2.0
- Finetuned from model : unsloth/gemma-4-e2b-it-unsloth-bnb-4bit
This gemma4 model was trained 2x faster with Unsloth
