Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kanishka/aann-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kanishka/aann-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kanishka/aann-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kanishka/aann-detector") model = AutoModelForSequenceClassification.from_pretrained("kanishka/aann-detector") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -24,7 +24,7 @@ if a sentence contains the interesting "Indefinite Article + Adjective + Numeral
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For instance: *A beautiful five days* counts but "A five beautiful days" does not, since the numeral precedes the adjective.
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This idea was inspired by [Chris Potts' "obscure" classifier to detect the PiPP construction](https://huggingface.co/cgpotts/pipp-finder-bert-base-cased
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## Model description
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For instance: *A beautiful five days* counts but "A five beautiful days" does not, since the numeral precedes the adjective.
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This idea was inspired by [Chris Potts' "obscure" classifier to detect the PiPP construction](https://huggingface.co/cgpotts/pipp-finder-bert-base-cased).
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## Model description
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