Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use SebLih/whisper-SV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebLih/whisper-SV3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SebLih/whisper-SV3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SebLih/whisper-SV3") model = AutoModelForSpeechSeq2Seq.from_pretrained("SebLih/whisper-SV3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
fcc99ea | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9e6ebd9e297e1ab1a4fe1fc7d19ff45c3d2bb7e78a55f24cb5e148df10df8aa4
size 3643
|