Instructions to use zeromodels/rfdetr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/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://zeromodels/rfdetr-large") - Notebooks
- Google Colab
- Kaggle
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README.md
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pipeline_tag: object-detection
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license: apache-2.0
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library_name: kerasformers
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tags:
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- keras
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- kerasformers
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- rf_detr
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- jax
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- pytorch
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# rfdetr-large (Keras 3)
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Pure-Keras 3 weights for [kerasformers](https://github.com/IMvision12/KerasFormers), mirrored from the GitHub release. Apache 2.0.
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```python
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from kerasformers.models.rf_detr import RFDETRDetect
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model = RFDETRDetect.from_weights("rfdetr-large")
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```
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---
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pipeline_tag: object-detection
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license: apache-2.0
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library_name: kerasformers
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tags:
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- keras
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- kerasformers
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- rf_detr
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- tf
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- jax
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- pytorch
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---
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# rfdetr-large (Keras 3)
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Pure-Keras 3 weights for [kerasformers](https://github.com/IMvision12/KerasFormers), mirrored from the GitHub release. Apache 2.0.
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```python
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from kerasformers.models.rf_detr import RFDETRDetect
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model = RFDETRDetect.from_weights("rfdetr-large")
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```
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