mlabonne/FineTome-100k
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How to use rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning with Transformers:
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning")
model = AutoModelForMultimodalLM.from_pretrained("rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning", device_map="auto")How to use rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning",
max_seq_length=2048,
)This gemma3n model was trained 2x faster with Unsloth and Huggingface's TRL library.