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
File size: 682 Bytes
6a45631 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"status": "conversion_pending",
"base_model": "google/functiongemma-270m-it",
"dataset_repo": "lucasllfsQ/network-agent-functiongemma-en-es",
"merged_model_dir": "outputs/networkagent2-functiongemma-merged",
"hf_repo_id": "lucasllfsQ/networkagent2-functiongemma-litert",
"notes": "Modelo treinado/merged. Conversão LiteRT-LM deve ser feita em ambiente com conversor oficial instalado.",
"conversion_errors": [
"ai_edge_torch.generative não disponível no Colab padrão",
"ai-edge-torch-convert não disponível no Colab padrão",
"ai-edge-litert-convert não disponível no Colab padrão",
"litertlm-convert não disponível no Colab padrão"
]
} |