Instructions to use IDA-SERICS/PropagandaDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDA-SERICS/PropagandaDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDA-SERICS/PropagandaDetection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDA-SERICS/PropagandaDetection") model = AutoModelForSequenceClassification.from_pretrained("IDA-SERICS/PropagandaDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b1de91771481f4d2b79d0c03c82e496e4a2ea146faa418377c2940a1bc8b9b5
- Size of remote file:
- 268 MB
- SHA256:
- d282127ef6c6076c586a87cfef0dca2bac6bb0bc2493bd421e30a69bda313fe9
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