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:
- efc7049ee046a74a0fdf1d30001cc9d38fafbb9358f02bff2fa1a34cf17c4f07
- Size of remote file:
- 5.71 kB
- SHA256:
- eaa3c443c9572f04ab711195734f17765a358ece8be1b5cd84c83282b2b55fe8
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