Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use SebLih/whisper-SV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebLih/whisper-SV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SebLih/whisper-SV")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SebLih/whisper-SV") model = AutoModelForSpeechSeq2Seq.from_pretrained("SebLih/whisper-SV", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
a22f185 -
End of training
55ae850 -
Delete vocab.json
763586a -
Delete training_args.bin
ce4c3a3 -
Delete tokenizer_config.json
25d1287 -
Delete special_tokens_map.json
d8f827f -
Delete pytorch_model.bin
c919441 -
Delete preprocessor_config.json
6693093 -
Delete normalizer.json
2e0aa2a -
Delete merges.txt
8a75fe8 -
Delete config.json
4142077 -
Delete added_tokens.json
2f6d071 -
Delete .gitignore
acb84a9 -
Delete runs
a04354b
-
End of training
9c11691 -
Training in progress, step 500
79a3efe -
initial commit
e05e587