Instructions to use cahya/whisper-tiny-id-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/whisper-tiny-id-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cahya/whisper-tiny-id-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cahya/whisper-tiny-id-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("cahya/whisper-tiny-id-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
pytorch_model.bin
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runs/Dec06_16-34-07_193-122-153-71/events.out.tfevents.1670344469.193-122-153-71.129284.0
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