Image-Text-to-Text
Keras
PyTorch
JAX
TensorFlow
English
zeromodels
qwen3_vl
qwen3-vl
multimodal
vision
Instructions to use zeromodels/qwen3-vl-32b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/qwen3-vl-32b-instruct with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/qwen3-vl-32b-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f16532474338098a4321ab8fe22446adc93a769f25d9c893fce76dd7c434dc9e
- Size of remote file:
- 5.35 GB
- SHA256:
- 63a83609987ac67f63687218185a90df1563de02d32fa7883e671d6affbbc36d
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