Instructions to use halcyonzhou/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halcyonzhou/whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="halcyonzhou/whisper-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("halcyonzhou/whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("halcyonzhou/whisper-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files
model.safetensors
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runs/Aug26_16-54-42_zjh/events.out.tfevents.1756198484.zjh.39196.0
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training_args.bin
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