Instructions to use cminja/whisper-tiny-sr-combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cminja/whisper-tiny-sr-combined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cminja/whisper-tiny-sr-combined")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cminja/whisper-tiny-sr-combined") model = AutoModelForSpeechSeq2Seq.from_pretrained("cminja/whisper-tiny-sr-combined") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
model.safetensors
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runs/Jun21_08-25-53_ubuntucminya-B450M-DS3H-V2/events.out.tfevents.1718951154.ubuntucminya-B450M-DS3H-V2.8272.0
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