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:
- 75d2f3878cfa57b1a4e3080f4346fb73b1224f8890fcc717a36e8b6e20450b91
- Size of remote file:
- 5.33 GB
- SHA256:
- af0d1e95e6bb0d1f3913f5a83444cc42df938f553ae3435a8cf8f260c199f71e
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