Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use nezamisafa/whisper-persian-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nezamisafa/whisper-persian-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nezamisafa/whisper-persian-v4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nezamisafa/whisper-persian-v4") model = AutoModelForSpeechSeq2Seq.from_pretrained("nezamisafa/whisper-persian-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fea471365d5f80d6493fc47d5df1b10fd8476a685b9a0834b8e567f19581e533
- Size of remote file:
- 4.99 GB
- SHA256:
- 0830076bf44532970d62932089396549d5c8c430655065517e92f1d4ce66c2fb
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