Instructions to use AIFahim/whisper-tiny-model-gpu-experimet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIFahim/whisper-tiny-model-gpu-experimet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AIFahim/whisper-tiny-model-gpu-experimet")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AIFahim/whisper-tiny-model-gpu-experimet") model = AutoModelForSpeechSeq2Seq.from_pretrained("AIFahim/whisper-tiny-model-gpu-experimet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files
pytorch_model.bin
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runs/Apr13_05-54-49_150-136-219-192/events.out.tfevents.1681365296.150-136-219-192
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