lavita/MedQuAD
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How to use gimmy256/medical-gemma3_1b with Keras:
# Available backend options are: "jax", "torch", "tensorflow".
import os
os.environ["KERAS_BACKEND"] = "jax"
import keras
model = keras.saving.load_model("hf://gimmy256/medical-gemma3_1b")
This repository hosts a fine-tuned version of the Gemma 3 1B model using Low-Rank Adaptation (LoRA) via KerasNLP on a subset of Medical Question & Answering (Q&A) data.
.keras format)from keras.models import load_model
model = load_model("https://huggingface.co/gimmy256/medical-gemma3_1b/resolve/main/medical_gemma3_1b.keras")
Base model
google/gemma-3-1b-pt