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")# 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 training_args.bin from jstoone/whisper-small-nordic-da: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/jstoone/whisper-small-nordic-da/resolve/main/training_args.bin
- Command line
-
hf download hf://jstoone/whisper-small-nordic-da/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jstoone/whisper-small-nordic-da/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 6b949c6718f86130f8f4f0a4f6598d0426bd3f458c005638a08be990fe795d08
- Size of remote file:
- 4.16 kB
- SHA256:
- f82ea2e8f27b5f1f3d2235b9b12b820c8a2e08ec3fc5412d249ceca20525ba6c
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