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: 384 Bytes
6a45631 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"base_model": "google/functiongemma-270m-it",
"dataset_repo": "lucasllfsQ/network-agent-functiongemma-en-es",
"dataset_fallback_dir": ".tmp-forjal-upload/data",
"task": "network diagnostics function calling",
"tools": [
"get_number_connected_users",
"check_internet_status",
"get_internet_speed"
],
"format": "FunctionGemma chat template with tool calls"
} |