Instructions to use lucasllfsQ/networkagent2-functiongemma-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucasllfsQ/networkagent2-functiongemma-litert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lucasllfsQ/networkagent2-functiongemma-litert", device_map="auto") - LiteRT
How to use lucasllfsQ/networkagent2-functiongemma-litert with LiteRT:
# 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
- Xet hash:
- 74f7059f05cfcc5dc6a2016f18c62e60e864f3dfefd2b33bdc4a8d55effed320
- Size of remote file:
- 33.4 MB
- SHA256:
- 80d7f800b949accd7eb940bac75e642f9468e4df157403032a55bf54ed23b650
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