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:
- b503d5e36840a6e0585eae9d493a3f578e91ec760a331e7fd13be5e669896db1
- Size of remote file:
- 5.16 GB
- SHA256:
- ca5c95afd7e73b0bbead22e67b1e8d3bbc20bf7c9559984af4388af38e4764bf
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