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
| { | |
| "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" | |
| ] | |
| } |