Instructions to use 4blacks/model-gemma-1m-basic-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4blacks/model-gemma-1m-basic-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("4blacks/model-gemma-1m-basic-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use 4blacks/model-gemma-1m-basic-model 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 4blacks/model-gemma-1m-basic-model 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 4blacks/model-gemma-1m-basic-model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for 4blacks/model-gemma-1m-basic-model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="4blacks/model-gemma-1m-basic-model", max_seq_length=2048, )
- Xet hash:
- d8d07965eb53afa8471b26c35f353c8ebbe70b904f1475afea6937f578c17f50
- Size of remote file:
- 216 MB
- SHA256:
- eed069edc7dd4a0d2a3fdd762df25b0eac836f53b39ce97ca7ccb976a8a0c82e
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