Instructions to use kerasformers/eomt_large_coco_instance_640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/eomt_large_coco_instance_640 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/eomt_large_coco_instance_640 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/eomt_large_coco_instance_640") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ac1f6e6dba8cbe977219804977f89287bada75f5fdd2c4befe3d119ab1646cb
- Size of remote file:
- 1.27 GB
- SHA256:
- fa3d365687becb307655e1881c7efbaac729dd1da433be17ac68679e7b8f81b8
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