Instructions to use gs224/whisper-tiny-polish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gs224/whisper-tiny-polish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gs224/whisper-tiny-polish")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gs224/whisper-tiny-polish") model = AutoModelForSpeechSeq2Seq.from_pretrained("gs224/whisper-tiny-polish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureUpdated version of model cardd042d62
-
Update README.md
Verified signature882c793 -
Update README.md
Verified signature844cb20 -
Update README.md
Verified signaturefece616 -
Update README.md
Verified signature0523f51 -
Update README.md
Verified signature9245a8f -
Update README.md
Verified signaturef487508
-
Upload WhisperForConditionalGeneration
Verified signatureeb54d90 -
Upload processor
Verified signature10ee604 -
Upload WhisperForConditionalGeneration
Verified signature10b0adb -
initial commit
Verified signatureccdf95c