Instructions to use zeromodels/mobilenetv3_large_150d_ra4_e3600_r256_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/mobilenetv3_large_150d_ra4_e3600_r256_in1k with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/mobilenetv3_large_150d_ra4_e3600_r256_in1k") - Keras
How to use zeromodels/mobilenetv3_large_150d_ra4_e3600_r256_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://zeromodels/mobilenetv3_large_150d_ra4_e3600_r256_in1k") - Notebooks
- Google Colab
- Kaggle
Upgrade kf_config.json to v2 (nested config + weight_dtype)
Browse files- kf_config.json +18 -14
kf_config.json
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.
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"model_module": "kerasformers.models.mobilenetv3",
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"model_class": "MobileNetV3ImageClassify",
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"variant": "mobilenetv3_large_150d_ra4_e3600_r256_in1k",
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"weights": "model.weights.h5",
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"model_type": "mobilenetv3",
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"
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}
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.2.1",
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"model_module": "kerasformers.models.mobilenetv3",
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"model_class": "MobileNetV3ImageClassify",
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"variant": "mobilenetv3_large_150d_ra4_e3600_r256_in1k",
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"weights": "model.weights.h5",
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"schema_version": 2,
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"weight_dtype": "float32",
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"model_type": "mobilenetv3",
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"vision_config": {
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"width_multiplier": 1.5,
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"depth_multiplier": 1.0,
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"config": "large",
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"minimal": false,
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"block_count_multiplier": 1.2,
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"head_count_multiplier": 2,
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"first_block_noskip": false,
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"se_round_divisor": 8,
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"se_use_block_act": false,
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"bn_epsilon": 1e-05,
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"head_use_bias": true,
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"image_size": 256,
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"num_classes": 1000
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}
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}
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