Instructions to use abukashan/whisper_small_fine_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abukashan/whisper_small_fine_tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abukashan/whisper_small_fine_tuning")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abukashan/whisper_small_fine_tuning") model = AutoModelForSpeechSeq2Seq.from_pretrained("abukashan/whisper_small_fine_tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
model.safetensors
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runs/Jan27_15-05-12_3e4e2777d081/events.out.tfevents.1706367917.3e4e2777d081.461.4
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