Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
Generated from Trainer
Instructions to use aictsharif/whisper-base-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aictsharif/whisper-base-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aictsharif/whisper-base-fa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aictsharif/whisper-base-fa") model = AutoModelForSpeechSeq2Seq.from_pretrained("aictsharif/whisper-base-fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c95b251d2cfdb7bf0420c333467fe7c2250fb1efefec2d625889a8c02e0cf5db
- Size of remote file:
- 5.5 kB
- SHA256:
- d3100100f1cd528ca6dca524fa453fcdc9f0bc77deef4252fd714de3131c2882
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