Instructions to use DD0101/disfluency-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DD0101/disfluency-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DD0101/disfluency-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DD0101/disfluency-large") model = AutoModelForTokenClassification.from_pretrained("DD0101/disfluency-large") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Apr09_03-23-40_699d0af0da58/events.out.tfevents.1681010629.699d0af0da58.262.0 +2 -2
- runs/Apr09_03-47-53_699d0af0da58/1681012079.0043883/events.out.tfevents.1681012079.699d0af0da58.262.3 +3 -0
- runs/Apr09_03-47-53_699d0af0da58/events.out.tfevents.1681012078.699d0af0da58.262.2 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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