Instructions to use phongdtd/wavLM-VLSP-vi-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phongdtd/wavLM-VLSP-vi-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="phongdtd/wavLM-VLSP-vi-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("phongdtd/wavLM-VLSP-vi-large") model = AutoModelForCTC.from_pretrained("phongdtd/wavLM-VLSP-vi-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 36000
Browse files
pytorch_model.bin
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runs/Feb21_21-17-37_khanhpluto-Z10PE-D8-WS/events.out.tfevents.1645453291.khanhpluto-Z10PE-D8-WS.20933.0
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