Instructions to use rossevine/Model_P_Wav2Vec2_Versi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rossevine/Model_P_Wav2Vec2_Versi2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rossevine/Model_P_Wav2Vec2_Versi2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rossevine/Model_P_Wav2Vec2_Versi2") model = AutoModelForCTC.from_pretrained("rossevine/Model_P_Wav2Vec2_Versi2") - Notebooks
- Google Colab
- Kaggle
Upload lm-boosted decoder
Browse files
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