metadata

title: Refsheet Chat
emoji: 💬
colorFrom: gray
colorTo: green
sdk: gradio
sdk_version: 5.21.0
app_file: app.py
pinned: false
license: mit
short_description: Chat with a character via reference sheet!

Chat via Reference Sheet

A demo of Gemma 3, demonstrating its excellent vision and multilingual capability.

Environment Configuration

Submit a Gemma Access Request from https://huggingface.co/google/gemma-3-4b-it. The access should be granted immediately with an email notification. After that, the model page will show

Gated model: You have been granted access to this model

Create conda environment with pip and Python 3.12

conda create -n transformers_gemma pip python=3.12
conda activate transformers_gemma

Install HuggingFace Transformers for Gemma 3:

pip install git+https://github.com/huggingface/[email protected]

Install PyTorch

On Nvidia GPU (with CUDA 12.6):

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126

On CPU:

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

Create an User Access Token from https://huggingface.co/docs/hub/security-tokens, then log in to your HuggingFace account with huggingface-cli:

huggingface-cli login

Copy-paste your access token and press enter.