Instructions to use cdactvm/whisper-small-as with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdactvm/whisper-small-as with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cdactvm/whisper-small-as")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cdactvm/whisper-small-as") model = AutoModelForSpeechSeq2Seq.from_pretrained("cdactvm/whisper-small-as", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
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runs/Jul09_23-18-38_GPU/events.out.tfevents.1720547348.GPU.49249.0
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