Instructions to use molto/speechbrainsepformer_libri3mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use molto/speechbrainsepformer_libri3mix with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("molto/speechbrainsepformer_libri3mix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decoder.ckpt from molto/speechbrainsepformer_libri3mix: direct link, hf CLI and curl.
- Browser
- Download file 17.3 kB
-
https://huggingface.co/molto/speechbrainsepformer_libri3mix/resolve/main/decoder.ckpt
- Command line
-
hf download hf://molto/speechbrainsepformer_libri3mix/decoder.ckpt
-
curl -L -o decoder.ckpt https://huggingface.co/molto/speechbrainsepformer_libri3mix/resolve/main/decoder.ckpt
17.3 kB
- Xet hash:
- a3fc2515946e2ed854235302455783a07a5bdbb9187cbe74b96c47c8937abe0a
- Size of remote file:
- 17.3 kB
- SHA256:
- 9afdda4e4ecb9eefb5d49329193c7a9215ae7443aab206f2fe4eb0f50988ca53
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