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
Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)
1dc3873 verified Download zm_preprocessor.json from zeromodels/glm-4.6v-flash: direct link, hf CLI and curl.
- Browser
- Download file 511 Bytes
-
https://huggingface.co/zeromodels/glm-4.6v-flash/resolve/main/zm_preprocessor.json
- Command line
-
hf download hf://zeromodels/glm-4.6v-flash/zm_preprocessor.json
-
curl -L -o zm_preprocessor.json https://huggingface.co/zeromodels/glm-4.6v-flash/resolve/main/zm_preprocessor.json
511 Bytes
| { | |
| "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 | |
| ] | |
| } |