Text Generation
PEFT
Safetensors
Amharic
English
medical
amharic
english
question-answering
lora
gemma
conversational
Instructions to use AiHub4MSRH-Hash/Gemma_3_4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AiHub4MSRH-Hash/Gemma_3_4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "AiHub4MSRH-Hash/Gemma_3_4B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46a7fbccc749027c16ae02ea8f97468c8ccd91f0c517ee8b705ee3422d80f396
- Size of remote file:
- 120 MB
- SHA256:
- adaa3753f4bb3caa51ea0868fd772005325c5adbf9b664b2aff2e6ec18ea98c0
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