Instructions to use kerasformers/clip_vit_bigg_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/clip_vit_bigg_14 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/clip_vit_bigg_14 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/clip_vit_bigg_14") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "kerasformers_version": "1.1.3", | |
| "preprocessor_module": "kerasformers.models.clip", | |
| "preprocessor_class": "CLIPImageProcessor", | |
| "variant": "clip_vit_bigg_14", | |
| "image_resolution": 224, | |
| "mean": [ | |
| 0.48145467042922974, | |
| 0.45782750844955444, | |
| 0.40821072459220886 | |
| ], | |
| "std": [ | |
| 0.2686295509338379, | |
| 0.2613025903701782, | |
| 0.27577710151672363 | |
| ], | |
| "do_center_crop": true, | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "data_format": "channels_last" | |
| } |