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
| # LiteRT/LiteRT-LM export pendente | |
| O modelo foi treinado e salvo em formato Hugging Face em `outputs/networkagent2-functiongemma-merged`. | |
| O Colab padrão não tem conversor LiteRT-LM público/estável disponível via pip. | |
| Publique o modelo no Hugging Face pela próxima célula e depois converta em um | |
| ambiente com o conversor LiteRT-LM oficial instalado. | |
| Repo de destino: `lucasllfsQ/networkagent2-functiongemma-litert` | |
| Dataset usado: `lucasllfsQ/network-agent-functiongemma-en-es` | |