Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Polish
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use M2LabOrg/whisper-small-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M2LabOrg/whisper-small-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="M2LabOrg/whisper-small-pl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("M2LabOrg/whisper-small-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("M2LabOrg/whisper-small-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6109248b1ddf651a589b74d014eab32089eea7bc934960a28ab6736c5c4f7063
- Size of remote file:
- 5.24 kB
- SHA256:
- f78afbd5886354f1654b7b436afa6a6aab966e928c1c4ec4644a4e4cb58f41a2
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