Instructions to use hajar817/whisper_tiny_fa_cv13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hajar817/whisper_tiny_fa_cv13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hajar817/whisper_tiny_fa_cv13")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hajar817/whisper_tiny_fa_cv13") model = AutoModelForSpeechSeq2Seq.from_pretrained("hajar817/whisper_tiny_fa_cv13") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6000
Browse files
model.safetensors
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runs/Apr23_06-14-52_mazaheri/events.out.tfevents.1713852895.mazaheri.108030.0
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