Image-Text-to-Text
PEFT
Safetensors
fetal-ultrasound
medical-ai
vision-language-model
knowledge-distillation
qwen
lora
conversational
Instructions to use mshz88/FADA-SKD-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mshz88/FADA-SKD-4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "mshz88/FADA-SKD-4B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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