Instructions to use daniel123321/whisper-small-eng-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daniel123321/whisper-small-eng-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="daniel123321/whisper-small-eng-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("daniel123321/whisper-small-eng-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("daniel123321/whisper-small-eng-v2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
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runs/Jan27_00-38-37_bioinf-yamata.mni.thm.de/events.out.tfevents.1706312320.bioinf-yamata.mni.thm.de.3856861.0
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