Text Generation
PEFT
Safetensors
lora
rl
grpo
openenv
voice
indic
hindi
tamil
kannada
hinglish
schema-drift
gemma-3n
tool-use
conversational
Instructions to use DGXAI/gemma-3n-e2b-driftcall-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DGXAI/gemma-3n-e2b-driftcall-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3n-E2B-it") model = PeftModel.from_pretrained(base_model, "DGXAI/gemma-3n-e2b-driftcall-lora") - Notebooks
- Google Colab
- Kaggle
Download thumbnail.png from DGXAI/gemma-3n-e2b-driftcall-lora: direct link, hf CLI and curl.
- Browser
- Download file 581 kB
-
https://huggingface.co/DGXAI/gemma-3n-e2b-driftcall-lora/resolve/main/thumbnail.png
- Command line
-
hf download hf://DGXAI/gemma-3n-e2b-driftcall-lora/thumbnail.png
-
curl -L -o thumbnail.png https://huggingface.co/DGXAI/gemma-3n-e2b-driftcall-lora/resolve/main/thumbnail.png
581 kB
- Xet hash:
- 7ac0aa7a7eec3da414f08cc9b85fe42ea9d4ef922e881335a92a43c73b4e1f18
- Size of remote file:
- 581 kB
- SHA256:
- 756422c07c15174704a8d6bd87b9602e7d564dd942879feb7e0f9b03c32fa70c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.