How to use from the
Use from the
Keras library
# 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")

eomt_large_coco_instance_640 (Keras 3)

Pure-Keras 3 weights for kerasformers, mirrored from the source. License: mit.

from kerasformers.models.eomt import EoMTUniversalSegment
model = EoMTUniversalSegment.from_weights("eomt_large_coco_instance_640")
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