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:
- 05b82d6b44a981d851ead9db17c8ed4ff7db6c735acee7a51edbc5ff461f7abb
- Size of remote file:
- 5.21 GB
- SHA256:
- 42b7d5c2c3b09a55dbf9f924fc96f64cd6c0a6f2dc9759b7c21d7b4c700f93b1
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