Instructions to use Alvenir/wav2vec2-base-da-ft-nst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alvenir/wav2vec2-base-da-ft-nst with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Alvenir/wav2vec2-base-da-ft-nst")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Alvenir/wav2vec2-base-da-ft-nst") model = AutoModelForCTC.from_pretrained("Alvenir/wav2vec2-base-da-ft-nst", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with git-lfs
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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