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:
# pip install -U transformers accelerate # 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
Download merged/networkagent2_metadata.json from lucasllfsQ/networkagent2-functiongemma-litert: direct link, hf CLI and curl.
- Browser
- Download file 384 Bytes
-
https://huggingface.co/lucasllfsQ/networkagent2-functiongemma-litert/resolve/main/merged/networkagent2_metadata.json
- Command line
-
hf download hf://lucasllfsQ/networkagent2-functiongemma-litert/merged/networkagent2_metadata.json
-
curl -L -o networkagent2_metadata.json https://huggingface.co/lucasllfsQ/networkagent2-functiongemma-litert/resolve/main/merged/networkagent2_metadata.json
384 Bytes
| { | |
| "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" | |
| } |