Instructions to use OpenMOSS-Team/RoboOmni-LIBERO-Spatial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/RoboOmni-LIBERO-Spatial with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("OpenMOSS-Team/RoboOmni-LIBERO-Spatial") model = AutoModelForMultimodalLM.from_pretrained("OpenMOSS-Team/RoboOmni-LIBERO-Spatial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add `pipeline_tag` and `library_name` to model card
Verified signatureThis PR enhances the model card by adding two important metadata tags: - `pipeline_tag: ROBOTICS`: Ensures the model is discoverable under the appropriate task category on the Hugging Face Hub, improving its visibility for users interested in robotics applications. - `library_name: transformers`: Explicitly declares compatibility with the Hugging Face Transformers library, as evidenced by the `transformers_version` in `config.json` and the naming conventions in `config.json` and `preprocessor_config.json`. This will enable the interactive "how to use" widget on the model page, providing convenient code snippets for easier adoption. These additions enhance the model's visibility and usability on the Hugging Face Hub.064cf0e
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Update README.md
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Update README.md
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Update README.md
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Upload folder using huggingface_hub
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initial commit
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