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:
- c0f393a3c26a5d636eea9b936e103fe8f478a833bae80b418f5aacf7e461edd5
- Size of remote file:
- 268 MB
- SHA256:
- c568a8b23509d393410fb5c6e227fa88224cf425fee2e39a7ac6b2345d3b8538
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