Instructions to use kerasformers/deit_tiny_patch16_224_fb_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/deit_tiny_patch16_224_fb_in1k 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/deit_tiny_patch16_224_fb_in1k 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/deit_tiny_patch16_224_fb_in1k") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "kerasformers_version": "1.1.3", | |
| "model_module": "kerasformers.models.deit", | |
| "model_class": "DeiTImageClassify", | |
| "variant": "deit_tiny_patch16_224_fb_in1k", | |
| "weights": "model.weights.h5", | |
| "model_type": "deit", | |
| "patch_size": 16, | |
| "embed_dim": 192, | |
| "depth": 12, | |
| "num_heads": 3, | |
| "use_distillation": false, | |
| "no_embed_class": false, | |
| "layer_scale_init": null, | |
| "image_size": 224, | |
| "num_classes": 1000 | |
| } |