Instructions to use unsloth/FLUX.2-klein-9B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use unsloth/FLUX.2-klein-9B-GGUF with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use unsloth/FLUX.2-klein-9B-GGUF 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 unsloth/FLUX.2-klein-9B-GGUF 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 unsloth/FLUX.2-klein-9B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/FLUX.2-klein-9B-GGUF to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/FLUX.2-klein-9B-GGUF", max_seq_length=2048, )
- Xet hash:
- 01eb121ad6469849a06d41cc0cbeb3242dc4f6d6149f81510dac390e113d6715
- Size of remote file:
- 6.71 GB
- SHA256:
- 2e152d06b896fe39becc8a859afad70b1b8f8bc3ccb18c7d7fe7db75d7548756
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