Instructions to use juyil/spatial-8act with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juyil/spatial-8act with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("juyil/spatial-8act", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add robotics pipeline tag, library name, license, and link to GitHub repository
Verified signatureHi! This PR improves the model card by: - Adding the `robotics` pipeline tag to make the model discoverable in the robotics section of the Hub. - Setting the `library_name` to `transformers` as the model uses auto-mappings compatible with the library. - Defining the `license` as `mit` based on the official GitHub repository. - Linking to the official GitHub repository for the code.bfcfe3e
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Update README.md
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Update README.md
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Create README.md
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Initial model upload
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initial commit
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