Instructions to use KerasFormers/qwen2-vl-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KerasFormers/qwen2-vl-2b with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://KerasFormers/qwen2-vl-2b") - Notebooks
- Google Colab
- Kaggle
qwen2-vl-2b (Keras 3, bf16)
Pure-Keras 3 conversion of Qwen/Qwen2-VL-2B for kerasformers. Apache 2.0.
This repo holds the converted model weights and tokenizer.json.
from kerasformers.models.qwen2_vl import Qwen2VLGenerate, Qwen2VLProcessor
model = Qwen2VLGenerate.from_weights("qwen2-vl-2b")
processor = Qwen2VLProcessor.from_weights("qwen2-vl-2b")
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Base model
Qwen/Qwen2-VL-2B