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:
- 2dd88b6cc268b8cf62de38b57f88df1493966c6ebbf0227a94026e63cc155088
- Size of remote file:
- 4.22 GB
- SHA256:
- 6bfd8e3539ad8e991901b84e849cbc42153522a9b4c83e85a576ad99f9b15c3f
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