TF-Keras
Safetensors
icos
edge-ai
energy-forecasting
anomaly-detection
model_hub_mixin
pytorch_model_hub_mixin
bento_model
ai-coordination
metrics-prediction
cpu-utilization
climate-tech
Instructions to use ICOS-AI/ICOS-AI_icos_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ICOS-AI/ICOS-AI_icos_models with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("ICOS-AI/ICOS-AI_icos_models") - Notebooks
- Google Colab
- Kaggle
Sync model
Browse files
metrics_utilization_model_lstm/latest
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metrics_utilization_model_lstm/xr4t4ns6qk23ubgz/custom_objects.pkl
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metrics_utilization_model_lstm/xr4t4ns6qk23ubgz/model.yaml
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name: metrics_utilization_model_lstm
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version: xr4t4ns6qk23ubgz
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module: bentoml.picklable_model
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labels: {}
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options:
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partial_kwargs: {}
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metadata: {}
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context:
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framework_name: cloudpickle
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framework_versions:
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cloudpickle: 3.1.1
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bentoml_version: 1.4.12
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python_version: 3.10.0
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signatures:
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__call__:
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batchable: false
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api_version: v1
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creation_time: '2025-07-11T18:13:24.931798+00:00'
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metrics_utilization_model_lstm/xr4t4ns6qk23ubgz/saved_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e1d1083809d833f5321aa926c057713f02d0ed42ddf2ab47470b3b4ccffecc4
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size 77067
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