Instructions to use codeinout/whisper-small-mine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeinout/whisper-small-mine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="codeinout/whisper-small-mine")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("codeinout/whisper-small-mine") model = AutoModelForSpeechSeq2Seq.from_pretrained("codeinout/whisper-small-mine", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files
pytorch_model.bin
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runs/Jul01_14-55-39_4d6c08e0f92b/events.out.tfevents.1688223344.4d6c08e0f92b.7388.1
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