Image-Text-to-Text
KerasFormers
Keras
PyTorch
JAX
TensorFlow
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glm
glm4v
multimodal
vision
Instructions to use kerasformers/glm-4.1v-9b-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/glm-4.1v-9b-thinking 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-4.1v-9b-thinking 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-4.1v-9b-thinking") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "kerasformers_version": "1.2.4", | |
| "preprocessor_module": "kerasformers.models.glm4v", | |
| "preprocessor_class": "Glm4vImageProcessor", | |
| "variant": "glm-4.1v-9b-thinking", | |
| "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 | |
| ] | |
| } |