Instructions to use iiitbh18/bhaskar1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use iiitbh18/bhaskar1 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://iiitbh18/bhaskar1") - Notebooks
- Google Colab
- Kaggle
Bhaskar Kumar commited on
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Parent(s): ce885e8
Initial commit of my Keras model
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README.md
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model_name: my_model
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#
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This model is a simple LSTM network built with Keras for predicting time series data.
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# My Keras Model
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This is a custom Keras model uploaded to Hugging Face Hub.
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model_name: my_model
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# bhaskar1
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This model is a simple LSTM network built with Keras for predicting time series data.
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