Instructions to use RajGothi/Fine-tuning_Wav2Vec2_for_English_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RajGothi/Fine-tuning_Wav2Vec2_for_English_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RajGothi/Fine-tuning_Wav2Vec2_for_English_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("RajGothi/Fine-tuning_Wav2Vec2_for_English_ASR") model = AutoModelForCTC.from_pretrained("RajGothi/Fine-tuning_Wav2Vec2_for_English_ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cbc6561b57786e6f9f53415b86ce9c6a005d6f81e4ac528358da02687673c3e
- Size of remote file:
- 3.07 kB
- SHA256:
- 450244fdbc805f1c985c02194f1854c578814964cfaa57a9bc824d13f110557c
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