Instructions to use 2796gauravc/test-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2796gauravc/test-custom with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("2796gauravc/test-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
metadata
base_model: unsloth/functiongemma-270m-it-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3_text
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: 2796gauravc
- License: apache-2.0
- Finetuned from model : unsloth/functiongemma-270m-it-unsloth-bnb-4bit
This gemma3_text model was trained 2x faster with Unsloth and Huggingface's TRL library.
