Instructions to use nopesadly/Audio-to-Midi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nopesadly/Audio-to-Midi 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://nopesadly/Audio-to-Midi") - Notebooks
- Google Colab
- Kaggle
Download model_float16.tflite from nopesadly/Audio-to-Midi: direct link, hf CLI and curl.
- Browser
- Download file 30.2 MB
-
https://huggingface.co/nopesadly/Audio-to-Midi/resolve/main/model_float16.tflite
- Command line
-
hf download hf://nopesadly/Audio-to-Midi/model_float16.tflite
-
curl -L -o model_float16.tflite https://huggingface.co/nopesadly/Audio-to-Midi/resolve/main/model_float16.tflite
30.2 MB
- Xet hash:
- 54989b5f7a5cfbd0d85353596560d9e21c003a1efdaabbaed14c2238eda07214
- Size of remote file:
- 30.2 MB
- SHA256:
- d41c02f0b0c11ad1d97979a1461d70756b9656318fc1de0a0751d16dd2cbf019
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