Image-Text-to-Text
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
Chinese
glm
glm4v
multimodal
vision
Instructions to use zeromodels/glm-4.6v-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/glm-4.6v-flash with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/glm-4.6v-flash") - Keras
How to use zeromodels/glm-4.6v-flash with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/glm-4.6v-flash") - Notebooks
- Google Colab
- Kaggle
File size: 511 Bytes
b3119ea 1dc3873 b3119ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"library_name": "zeromodels",
"zeromodels_version": "1.2.4",
"preprocessor_module": "zeromodels.models.glm4v",
"preprocessor_class": "Glm4vImageProcessor",
"variant": "glm-4.6v-flash",
"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
]
} |