Instructions to use anton-l/distilhubert-ft-common-language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/distilhubert-ft-common-language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anton-l/distilhubert-ft-common-language")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anton-l/distilhubert-ft-common-language") model = AutoModelForAudioClassification.from_pretrained("anton-l/distilhubert-ft-common-language", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
pytorch_model.bin
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runs/Oct27_20-49-53_anton-gpu-v100/events.out.tfevents.1635367812.anton-gpu-v100.151816.0
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