Instructions to use yujiepan/internal.wav2vec2-base-superb-ks-int8-structured64-quantize-inputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/internal.wav2vec2-base-superb-ks-int8-structured64-quantize-inputs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="yujiepan/internal.wav2vec2-base-superb-ks-int8-structured64-quantize-inputs")# Load model directly from transformers import AutoProcessor, NNCFNetwork processor = AutoProcessor.from_pretrained("yujiepan/internal.wav2vec2-base-superb-ks-int8-structured64-quantize-inputs") model = NNCFNetwork.from_pretrained("yujiepan/internal.wav2vec2-base-superb-ks-int8-structured64-quantize-inputs") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
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librarian-bot