Instructions to use DD0101/disfluency_base_augmented_90_90 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DD0101/disfluency_base_augmented_90_90 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DD0101/disfluency_base_augmented_90_90")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DD0101/disfluency_base_augmented_90_90") model = AutoModelForTokenClassification.from_pretrained("DD0101/disfluency_base_augmented_90_90", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/May19_12-28-41_f46b5106fbb1/events.out.tfevents.1684499342.f46b5106fbb1.325.0
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