Instructions to use Monsia/test-model-lg-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monsia/test-model-lg-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Monsia/test-model-lg-data")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Monsia/test-model-lg-data") model = AutoModelForCTC.from_pretrained("Monsia/test-model-lg-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 600
Browse files
pytorch_model.bin
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runs/Dec21_21-51-41_94f8b9aa6c43/events.out.tfevents.1640123691.94f8b9aa6c43.672.0
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