Instructions to use Danieljava/whisper-small-finetuned-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Danieljava/whisper-small-finetuned-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Danieljava/whisper-small-finetuned-asr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Danieljava/whisper-small-finetuned-asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("Danieljava/whisper-small-finetuned-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
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runs/Feb27_15-31-01_17db200478bc/events.out.tfevents.1772206261.17db200478bc.648.0
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