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networkagent2-functiongemma-litert
lucasllfsQ/networkagent2-functiongemma-litert
networkagent2-functiongemma-litert is a machine learning model from lucasllfsQ. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Fine-tuning de google/functiongemma-270m-it para chamadas de fun??o de diagn?stico de rede no app Android NetworkAgent2.
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Public
Updated Jul 24, 2026
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Jul 24, 2026
- Updated
- Jul 24, 2026
- SHA
- ac558558
Base models
Model card
From the Hugging Face model README
NetworkAgent2 FunctionGemma
Fine-tuning de google/functiongemma-270m-it para chamadas de fun??o de diagn?stico de rede no app Android NetworkAgent2.
Ferramentas treinadas
get_number_connected_users: n?mero de dispositivos conectados.check_internet_status: status da conex?o com a internet.get_internet_speed: velocidade atual da internet em Mbps.
Dataset
O treino usa o dataset lucasllfsQ/network-agent-functiongemma-en-es. Uma c?pia dos splits usados ? enviada em dataset/.
Artefatos
adapter/: adapter LoRA/PEFT.merged/: modelo Hugging Face ap?s merge do LoRA.litert/: export LiteRT/LiteRT-LM ou instru??es de convers?o geradas pelo notebook.
Uso r?pido
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "lucasllfsQ/networkagent2-functiongemma-litert"
tokenizer = AutoTokenizer.from_pretrained(model_id, subfolder="merged")
model = AutoModelForCausalLM.from_pretrained(model_id, subfolder="merged", device_map="auto")
- Library
- transformers
- Created
- Jul 24, 2026
- Updated
- Jul 24, 2026