Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
whisper-large-v3
persian
farsi
speech-recognition
asr
audio
Generated from Trainer
h100
huggingface
vhdm
Eval Results (legacy)
Instructions to use vhdm/whisper-large-fa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vhdm/whisper-large-fa-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vhdm/whisper-large-fa-v1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vhdm/whisper-large-fa-v1") model = AutoModelForSpeechSeq2Seq.from_pretrained("vhdm/whisper-large-fa-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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metrics:
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- wer
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model-index:
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- name: vhdm/whisper-
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results:
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- task:
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name: Automatic Speech Recognition
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value: 14.065335753176045
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---
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# 📢 vhdm/whisper-
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🎧 **Fine-tuned Whisper Large V3 Turbo for Persian Speech Recognition**
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```python
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from transformers import pipeline
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pipe = pipeline("automatic-speech-recognition", model="vhdm/whisper-
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result = pipe("path_to_persian_audio.wav")
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print(result["text"])
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metrics:
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- wer
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model-index:
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- name: vhdm/whisper-large-fa-v1
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results:
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- task:
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name: Automatic Speech Recognition
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value: 14.065335753176045
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---
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# 📢 vhdm/whisper-large-fa-v1
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🎧 **Fine-tuned Whisper Large V3 Turbo for Persian Speech Recognition**
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```python
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from transformers import pipeline
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pipe = pipeline("automatic-speech-recognition", model="vhdm/whisper-large-fa-v1")
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result = pipe("path_to_persian_audio.wav")
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print(result["text"])
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