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.json from scionoftech/functiongemma-e-commerce-tool-calling: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/scionoftech/functiongemma-e-commerce-tool-calling/resolve/main/tokenizer.json
- Command line
-
hf download hf://scionoftech/functiongemma-e-commerce-tool-calling/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/scionoftech/functiongemma-e-commerce-tool-calling/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- c3f6b8e2c55a57217a6f52ca3d1b18ba55b892111c045934db95dd03120dbbc9
- Size of remote file:
- 33.4 MB
- SHA256:
- b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
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