Instructions to use ahazeemi/pruswav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahazeemi/pruswav2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ahazeemi/pruswav2vec")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ahazeemi/pruswav2vec") model = AutoModel.from_pretrained("ahazeemi/pruswav2vec") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModel
processor = AutoProcessor.from_pretrained("ahazeemi/pruswav2vec")
model = AutoModel.from_pretrained("ahazeemi/pruswav2vec")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ahazeemi/pruswav2vec")