Instructions to use MrMufasi/granite-4.0-h-tiny-opus-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrMufasi/granite-4.0-h-tiny-opus-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MrMufasi/granite-4.0-h-tiny-opus-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use MrMufasi/granite-4.0-h-tiny-opus-lora 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 MrMufasi/granite-4.0-h-tiny-opus-lora 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 MrMufasi/granite-4.0-h-tiny-opus-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MrMufasi/granite-4.0-h-tiny-opus-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MrMufasi/granite-4.0-h-tiny-opus-lora", max_seq_length=2048, )
- Xet hash:
- c88c0a3ec04df2578ae7fa8dc1377878cf4d7e75b38654b833f1413c0aa04bdc
- Size of remote file:
- 2.63 MB
- SHA256:
- 8d5d0ff562f5dc6de4b991d745b63eac98b8ecd416efe2eeaf3e9d43a13cdf22
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