Transformers
Safetensors
PEFT
English
function-calling
agent-routing
multi-agent
lora
gemma
functiongemma
customer-support
e-commerce
Eval Results (legacy)
Instructions to use scionoftech/functiongemma-e-commerce-tool-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scionoftech/functiongemma-e-commerce-tool-calling with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scionoftech/functiongemma-e-commerce-tool-calling", device_map="auto") - PEFT
How to use scionoftech/functiongemma-e-commerce-tool-calling with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from scionoftech/functiongemma-e-commerce-tool-calling: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/scionoftech/functiongemma-e-commerce-tool-calling/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://scionoftech/functiongemma-e-commerce-tool-calling/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/scionoftech/functiongemma-e-commerce-tool-calling/resolve/main/tokenizer_config.json
1.16 MB
File too large to display, you can check the raw version instead.