Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
Generated from Trainer
Instructions to use aictsharif/whisper-medium-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aictsharif/whisper-medium-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aictsharif/whisper-medium-fa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aictsharif/whisper-medium-fa") model = AutoModelForSpeechSeq2Seq.from_pretrained("aictsharif/whisper-medium-fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 813961a771ea3cdaffe43443886f94dccb5f8a5877ebf807524298bd8294ab0c
- Size of remote file:
- 5.5 kB
- SHA256:
- 8b0c238a6683bd0eba55ca8d89f5d96bcc6eaa9193c5cea8e03895140c408536
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