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
- Xet hash:
- 63c37747f6a91cf781f5a949107e3b82c627fb61712835267485756602fdc17a
- Size of remote file:
- 33.4 MB
- SHA256:
- 6aa40b46d55d1fa5f1c0b218de3a695942c620858ba34aa94e2aa705efc6f071
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