Instructions to use sumitagrawal/functiongemma-270m-tool-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sumitagrawal/functiongemma-270m-tool-agent with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/functiongemma-270m-it") model = PeftModel.from_pretrained(base_model, "sumitagrawal/functiongemma-270m-tool-agent") - Notebooks
- Google Colab
- Kaggle
Download benchmark-results.png from sumitagrawal/functiongemma-270m-tool-agent: direct link, hf CLI and curl.
- Browser
- Download file 727 kB
-
https://huggingface.co/sumitagrawal/functiongemma-270m-tool-agent/resolve/main/benchmark-results.png
- Command line
-
hf download hf://sumitagrawal/functiongemma-270m-tool-agent/benchmark-results.png
-
curl -L -o benchmark-results.png https://huggingface.co/sumitagrawal/functiongemma-270m-tool-agent/resolve/main/benchmark-results.png
727 kB

- Xet hash:
- c912d08cd94a1768c378061249ecb345017324cca5dbf332c1cf6d43a82ee8c4
- Size of remote file:
- 727 kB
- SHA256:
- a4dfa729253af56af5871b38ae846a1d59f44189b88d039ec58258e0bcd1f2df
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