Instructions to use DD0101/disfluency-xml-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DD0101/disfluency-xml-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DD0101/disfluency-xml-roberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DD0101/disfluency-xml-roberta-large") model = AutoModelForTokenClassification.from_pretrained("DD0101/disfluency-xml-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 21
Browse files
pytorch_model.bin
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runs/Jun12_13-28-45_85d1dea1aff4/events.out.tfevents.1686577045.85d1dea1aff4.360.0
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