Instructions to use GroupSix/whisper-small-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroupSix/whisper-small-sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GroupSix/whisper-small-sv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GroupSix/whisper-small-sv") model = AutoModelForSpeechSeq2Seq.from_pretrained("GroupSix/whisper-small-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from GroupSix/whisper-small-sv: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/GroupSix/whisper-small-sv/resolve/fdce03e577eee4ad90f8b4050092f7beb3979256/model.safetensors
- Command line
-
hf download hf://GroupSix/whisper-small-sv@fdce03e577eee4ad90f8b4050092f7beb3979256/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GroupSix/whisper-small-sv/resolve/fdce03e577eee4ad90f8b4050092f7beb3979256/model.safetensors
967 MB
- Xet hash:
- 0ba22f9f2da94ac8bb35ec967f76b7e3278e275dcc69990cd3db236a40a5c8e6
- Size of remote file:
- 967 MB
- SHA256:
- e26002565dd3d190bb4d986e83501a9761279a2307b9828dc0d020e7e44d0db7
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