Automatic Speech Recognition
Transformers
PyTorch
Persian
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use ghofrani/common7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghofrani/common7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ghofrani/common7")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ghofrani/common7") model = AutoModelForCTC.from_pretrained("ghofrani/common7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5c8fedb0317c3922be1ff3c816214008287c8e5ee09b131dcf07f1f5fc958b0
- Size of remote file:
- 1.26 GB
- SHA256:
- a9552211f59800e665e0cc26b13e255a59ea1837024d4af92a1ce8c8e9a0fc8e
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