Instructions to use kerasformers/clip_vit_base_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/clip_vit_base_32 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_base_32 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_base_32") - Notebooks
- Google Colab
- Kaggle
File size: 535 Bytes
cf862c4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"library_name": "kerasformers",
"kerasformers_version": "1.1.3",
"preprocessor_module": "kerasformers.models.clip",
"preprocessor_class": "CLIPImageProcessor",
"variant": "clip_vit_base_32",
"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"
} |