Instructions to use kvssetty/kvs-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kvssetty/kvs-image-classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kvssetty/kvs-image-classification") - Notebooks
- Google Colab
- Kaggle
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- Image Classification
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- Keras
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- TensorFlow
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extra_gated_prompt: "You agree to not use the model to conduct experiments that cause harm to human subjects."
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extra_gated_fields:
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Company: text
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Country: text
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I agree to use this model for non-commercial use ONLY: checkbox
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## Welcome to KVS's Computer Vision Image Classification Model repo
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- Image Classification
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- Keras
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- TensorFlow
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## Welcome to KVS's Computer Vision Image Classification Model repo
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