Instructions to use marcsixtysix/whisper-tiny-pl03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcsixtysix/whisper-tiny-pl03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marcsixtysix/whisper-tiny-pl03")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("marcsixtysix/whisper-tiny-pl03") model = AutoModelForSpeechSeq2Seq.from_pretrained("marcsixtysix/whisper-tiny-pl03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d662106e47cfb7c81606c7ab2586af7c1d72506dad77e8eece826694f5a66d21
- Size of remote file:
- 5.5 kB
- SHA256:
- 6932b234429adabeaed9f431156acdfda781097c250453dffe675dfc2171fd6c
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