Text Classification
Transformers
PyTorch
English
roberta
climate
misinformation
text-embeddings-inference
Instructions to use crarojasca/BinaryAugmentedCARDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crarojasca/BinaryAugmentedCARDS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crarojasca/BinaryAugmentedCARDS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crarojasca/BinaryAugmentedCARDS") model = AutoModelForSequenceClassification.from_pretrained("crarojasca/BinaryAugmentedCARDS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23dcf0b2697a235ca5d7c27df711d2f15276c63458d61042480e98654812c27a
- Size of remote file:
- 1.42 GB
- SHA256:
- 34ddd5cb354e18128e34497f3bef795eabc3c753d5e6db6518402e8fed54de9c
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