Instructions to use kerasformers/rfdetr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/rfdetr-large 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/rfdetr-large 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/rfdetr-large") - Notebooks
- Google Colab
- Kaggle
File size: 543 Bytes
a33a1e5 0edd8fc a33a1e5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"library_name": "kerasformers",
"kerasformers_version": "1.1.3",
"preprocessor_module": "kerasformers.models.rf_detr",
"preprocessor_class": "RFDETRImageProcessor",
"variant": null,
"size": {
"height": 704,
"width": 704
},
"resample": "bilinear",
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_normalize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"return_tensor": true,
"data_format": null
} |