Instructions to use BluePrintTs/NoiseManagementSystem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use BluePrintTs/NoiseManagementSystem with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("BluePrintTs/NoiseManagementSystem") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BluePrintTs/NoiseManagementSystem: direct link, hf CLI and curl.
- Browser
- Download file 20.3 MB
-
https://huggingface.co/BluePrintTs/NoiseManagementSystem/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BluePrintTs/NoiseManagementSystem/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BluePrintTs/NoiseManagementSystem/resolve/main/pytorch_model.bin
20.3 MB
- Xet hash:
- 546fbef00d42e5eb2ef6019206b7d8ce499102e882b76bdc150d8cfab24bdad8
- Size of remote file:
- 20.3 MB
- SHA256:
- 582baf5d5fdf1735ddfccbfa5fdd2e52bb23dfd814497bc1a185ec2c90441bb4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.