Automatic Speech Recognition
Transformers
PyTorch
Persian
wav2vec2
common_voice
Generated from Trainer
Instructions to use ghofrani/common6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghofrani/common6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ghofrani/common6")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ghofrani/common6") model = AutoModelForCTC.from_pretrained("ghofrani/common6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f16ba136006f0bc2a1cf0fc19964f18c0b420ef2eadc211b90a832d335f0c298
- Size of remote file:
- 2.99 kB
- SHA256:
- fca0fc29c14b7eead928fb8ac25cd790992897918b3b3fa4cc7bca19298ab88d
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