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Keras
PyTorch
JAX
TensorFlow
English
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zeromodels
glm
glm4v_moe
multimodal
vision
mixture-of-experts
Instructions to use zeromodels/glm-4.6v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/glm-4.6v 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/glm-4.6v") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e99bf91a65a17672a56cb134b24fe8e11eb77277b2e5362528e5be289facd1ae
- Size of remote file:
- 4.7 GB
- SHA256:
- d2bc23452db428bdc2e6cfb1add867c0b2dbd60f5baec82da78821faab765574
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