Instructions to use finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
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 finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only to start chatting
Install Unsloth Studio (Windows)
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 finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="finesearch/gemma-3-4B-finesearch-40K-1epoch-adapter-only", max_seq_length=2048, )
- Xet hash:
- c76cb568ea34cedf5ada7258e248dbd235e235112aa8284110ff57ba438a584a
- Size of remote file:
- 59.7 MB
- SHA256:
- cb577aebdcd88c8cb51b5606785ddc89c74f9b17c0da7482f5069a392f76bf47
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