Instructions to use zoha/wav2vec2-base-common-voice-fa-second-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zoha/wav2vec2-base-common-voice-fa-second-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zoha/wav2vec2-base-common-voice-fa-second-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("zoha/wav2vec2-base-common-voice-fa-second-colab") model = AutoModelForCTC.from_pretrained("zoha/wav2vec2-base-common-voice-fa-second-colab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c07e85d4342d5a593960d328cb5a77454b23736d7a9a9f39b090a2e998405516
- Size of remote file:
- 2.86 kB
- SHA256:
- 29f68ed5abf0b201a8a62b301795a477d13d0b6e76cc4100e21049f43a9298f7
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