Instructions to use btan2/cappy-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use btan2/cappy-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="btan2/cappy-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("btan2/cappy-large") model = AutoModelForSequenceClassification.from_pretrained("btan2/cappy-large") - Notebooks
- Google Colab
- Kaggle
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README.md
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learning. Our subsequent ablation study proves the significance of our proposed pretraining and data
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augmentation strategies.
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## Software
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url={https://openreview.net/forum?id=Srt1hhQgqa}
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}
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```
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