Instructions to use tanfiona/cnc-v2-st1-csc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanfiona/cnc-v2-st1-csc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanfiona/cnc-v2-st1-csc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanfiona/cnc-v2-st1-csc") model = AutoModelForSequenceClassification.from_pretrained("tanfiona/cnc-v2-st1-csc") - Notebooks
- Google Colab
- Kaggle
Binary causal sentence classification:
- LABEL_0 = Non-causal
- LABEL_1 = Causal
Trained on Causal News Corpus Version 2.
For more information, please refer to our repository: https://github.com/tanfiona/CausalNewsCorpus
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