Instructions to use lgris/whisper-tiny-cv11-pt-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/whisper-tiny-cv11-pt-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/whisper-tiny-cv11-pt-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lgris/whisper-tiny-cv11-pt-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("lgris/whisper-tiny-cv11-pt-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Nov08_19-40-34_lucas-desktop/events.out.tfevents.1667947242.lucas-desktop
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