Instructions to use sweetcocoa/pop2piano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sweetcocoa/pop2piano with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sweetcocoa/pop2piano")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("sweetcocoa/pop2piano", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sweetcocoa/pop2piano: direct link, hf CLI and curl.
- Browser
- Download file 236 MB
-
https://huggingface.co/sweetcocoa/pop2piano/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sweetcocoa/pop2piano/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sweetcocoa/pop2piano/resolve/main/pytorch_model.bin
236 MB
- Xet hash:
- 4fbe761a73b07ca5c791f7a79fbe13a1eea350bdee3322336c47f5cc62972f81
- Size of remote file:
- 236 MB
- SHA256:
- 4ebff90f182961d1dc7c8cf481289b5c926610fe89993b5b02f1a61fb29dfa45
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