Instructions to use Libidrave/TrashClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Libidrave/TrashClassification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Libidrave/TrashClassification") - Notebooks
- Google Colab
- Kaggle
Upload models-trash-classification.weights.h5 with huggingface_hub
Browse files
models-trash-classification.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b23a387f39333d4318ad158e884c50169c64e232a0d379db9f3f52b9146e30e
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size 858560
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