Instructions to use keras/metaclip_2_vit_huge_patch14_378 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/metaclip_2_vit_huge_patch14_378 with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/metaclip_2_vit_huge_patch14_378") - Keras
How to use keras/metaclip_2_vit_huge_patch14_378 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras/metaclip_2_vit_huge_patch14_378") - Notebooks
- Google Colab
- Kaggle
| { | |
| "keras_version": "3.13.2", | |
| "keras_hub_version": "0.27.0.dev0", | |
| "parameter_count": 1859389185, | |
| "date_saved": "2026-03-07@21:01:13", | |
| "tasks": [] | |
| } |