Instructions to use kdcyberdude/w2v-multilingual-v0.3-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kdcyberdude/w2v-multilingual-v0.3-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kdcyberdude/w2v-multilingual-v0.3-scratch")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kdcyberdude/w2v-multilingual-v0.3-scratch") model = AutoModelForCTC.from_pretrained("kdcyberdude/w2v-multilingual-v0.3-scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository
- checkpoint-12000
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- checkpoint-56792
- checkpoint-8000
- language_model
- runs
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