Instructions to use jstoone/whisper-small-nordic-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jstoone/whisper-small-nordic-da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jstoone/whisper-small-nordic-da")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jstoone/whisper-small-nordic-da") model = AutoModelForSpeechSeq2Seq.from_pretrained("jstoone/whisper-small-nordic-da", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jstoone/whisper-small-nordic-da: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/jstoone/whisper-small-nordic-da/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jstoone/whisper-small-nordic-da/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jstoone/whisper-small-nordic-da/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- a2d6e422e208d8db4d344c275d2b76a8e395f8b2820dd4176949be1310f6ea0d
- Size of remote file:
- 967 MB
- SHA256:
- 5115edd7f96b62f40018113b1f6544e955b94a21ebbf264f2d59bdd5956f0eef
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