Image-Text-to-Text
KerasFormers
Keras
PyTorch
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glm
glm4v_moe
multimodal
vision
mixture-of-experts
Instructions to use kerasformers/glm-4.5v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/glm-4.5v with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/glm-4.5v with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/glm-4.5v") - Notebooks
- Google Colab
- Kaggle
File size: 511 Bytes
45cfe6f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"library_name": "kerasformers",
"kerasformers_version": "1.2.4",
"preprocessor_module": "kerasformers.models.glm4v",
"preprocessor_class": "Glm4vImageProcessor",
"variant": "glm-4.5v",
"patch_size": 14,
"spatial_merge_size": 2,
"temporal_patch_size": 2,
"min_pixels": 12544,
"max_pixels": 9633792,
"image_mean": [
0.48145467042922974,
0.45782750844955444,
0.40821072459220886
],
"image_std": [
0.2686295509338379,
0.2613025903701782,
0.27577710151672363
]
} |