Instructions to use ItzRustam/EMINIST-KERAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ItzRustam/EMINIST-KERAS with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://ItzRustam/EMINIST-KERAS") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ItzRustam/EMINIST-KERAS: direct link, hf CLI and curl.
- Browser
- Download file 317 Bytes
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https://huggingface.co/ItzRustam/EMINIST-KERAS/resolve/main/README.md
- Command line
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hf download hf://ItzRustam/EMINIST-KERAS/README.md
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curl -L -o README.md https://huggingface.co/ItzRustam/EMINIST-KERAS/resolve/main/README.md
317 Bytes
metadata
license: apache-2.0
metrics:
- accuracy
library_name: keras
tags:
- Regression
- EMINIST
EMINIST-KERAS
Pre-trained AI Model to Recoginize handwritten digits & character trained with EMINIST Dataset using TensorFlow-Keras.
Kaggle usable Model
https://www.kaggle.com/models/rustambhadouriya/eminist-keras