Gemma-3-270M-Fine-tuning
Collection
2 items • Updated
How to use takenolab/gemma-3-270m-it-python-500k-coder with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("takenolab/gemma-3-270m-it-python-500k-coder", dtype="auto")How to use takenolab/gemma-3-270m-it-python-500k-coder 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 takenolab/gemma-3-270m-it-python-500k-coder 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 takenolab/gemma-3-270m-it-python-500k-coder to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for takenolab/gemma-3-270m-it-python-500k-coder to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="takenolab/gemma-3-270m-it-python-500k-coder",
max_seq_length=2048,
)This gemma3_text model was trained 2x faster with Unsloth and Huggingface's TRL library.