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
File size: 669 Bytes
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version: 1.0.0
library_name: keras
tags:
- Image Classification
- Keras
- TensorFlow
extra_gated_prompt: "You agree to not use the model to conduct experiments that cause harm to human subjects."
extra_gated_fields:
Company: text
Country: text
I agree to use this model for non-commerical use ONLY: checkbox
---
## Welcome to KVS's Computer Vision Image Classification Model repo
This is my first model repository in hugging face and it is a test repo, so you may not find anything interesting in this repo. Anyway, I am trying to implement an image classification model here using CNN architecture and use the TensorFlow python library for implementation. |