Image-Text-to-Text
Keras
PyTorch
JAX
TensorFlow
English
zeromodels
qwen3_vl
qwen3-vl
multimodal
vision
Instructions to use zeromodels/qwen3-vl-8b-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/qwen3-vl-8b-thinking 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-8b-thinking") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a752cfb0fae8782727ff0fec9b7b786d91f3ae4d1f1228c07eefc3ebce434444
- Size of remote file:
- 5.3 GB
- SHA256:
- 1bfb5eca224d1301cd60cc3ca59b57afaf70d6f00fd228e2171f9af3b5996574
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