Instructions to use DD0101/disfluency-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DD0101/disfluency-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DD0101/disfluency-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DD0101/disfluency-base") model = AutoModelForTokenClassification.from_pretrained("DD0101/disfluency-base") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("DD0101/disfluency-base")
model = AutoModelForTokenClassification.from_pretrained("DD0101/disfluency-base")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DD0101/disfluency-base")