Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Northern Sami
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use zeihers-mart/whisper-small-swedish-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeihers-mart/whisper-small-swedish-basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zeihers-mart/whisper-small-swedish-basic")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zeihers-mart/whisper-small-swedish-basic") model = AutoModelForSpeechSeq2Seq.from_pretrained("zeihers-mart/whisper-small-swedish-basic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be3bca74a900c095f2aaf6ca6cb4e173b0c45c8456d4eda07463ff5e596462e6
- Size of remote file:
- 4.92 kB
- SHA256:
- 2cd3d567554b3301daebd91df3a71dddcd959cccad7ec58d5775a5e7a06351c5
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