Instructions to use kdcyberdude/w2v-multilingual-v1.4-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kdcyberdude/w2v-multilingual-v1.4-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kdcyberdude/w2v-multilingual-v1.4-scratch")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kdcyberdude/w2v-multilingual-v1.4-scratch") model = AutoModelForCTC.from_pretrained("kdcyberdude/w2v-multilingual-v1.4-scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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