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:
- c4f7889c1d107c625018143b9567fd242759866d3ee1c7a42d3d88d0679b1397
- Size of remote file:
- 378 MB
- SHA256:
- 5fd5237f5edb451cb3e3a5e41897aaafbb764254abf0e85f01c89389fc9d0eb5
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