Instructions to use Tim-gubski/Audio2Hero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tim-gubski/Audio2Hero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Tim-gubski/Audio2Hero")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Tim-gubski/Audio2Hero") model = AutoModelForSpeechSeq2Seq.from_pretrained("Tim-gubski/Audio2Hero") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("Tim-gubski/Audio2Hero")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Tim-gubski/Audio2Hero")Quick Links
Love Guitar Hero but don't have game files for your favorite song? Audio2Hero is an encoder-decoder transformer finetuned to generate Guitar Hero chart files (files which describe the level setup including buttons and note timings) from any audio!
Developed by: [Matthew Banaag & Tim Gubski]
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Tim-gubski/Audio2Hero")