Text Generation
PEFT
Safetensors
lora
qlora
function-calling
tool-use
windows
agent
gemma
conversational
Instructions to use onevloth/pc-agent-dispatcher-gemma4-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use onevloth/pc-agent-dispatcher-gemma4-e2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huihui-ai/Huihui-gemma-4-E2B-it-abliterated") model = PeftModel.from_pretrained(base_model, "onevloth/pc-agent-dispatcher-gemma4-e2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e65599fc667863640f9d049bb9355d8c96e0e00d9b0e891a681c642bf6004afe
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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