Instructions to use hajar817/whisper_base_fa_cv13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hajar817/whisper_base_fa_cv13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hajar817/whisper_base_fa_cv13")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hajar817/whisper_base_fa_cv13") model = AutoModelForSpeechSeq2Seq.from_pretrained("hajar817/whisper_base_fa_cv13") - Notebooks
- Google Colab
- Kaggle
Upload WhisperForConditionalGeneration
#5 opened about 2 years ago
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hajar817
Upload WhisperForConditionalGeneration
#4 opened about 2 years ago
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hajar817
Upload WhisperForConditionalGeneration
#3 opened about 2 years ago
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hajar817
Upload WhisperForConditionalGeneration
#2 opened about 2 years ago
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hajar817
Upload WhisperForConditionalGeneration
#1 opened about 2 years ago
by
hajar817