Automatic Speech Recognition
Transformers
PyTorch
Persian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use steja/whisper-small-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steja/whisper-small-persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="steja/whisper-small-persian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("steja/whisper-small-persian") model = AutoModelForSpeechSeq2Seq.from_pretrained("steja/whisper-small-persian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb02902f35067d3945115adbe55b3e8873aad08f9f9dd04f0c90260d0a04926d
- Size of remote file:
- 967 MB
- SHA256:
- 36bb2595886d36388c269aa16e946c072b0204ab03529a11cced73442d901dd5
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