Text Classification
Transformers
ONNX
Safetensors
English
modernbert
propaganda-detection
multi-label-classification
text-embeddings-inference
Instructions to use synapti/nci-technique-classifier-v5.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use synapti/nci-technique-classifier-v5.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="synapti/nci-technique-classifier-v5.2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("synapti/nci-technique-classifier-v5.2") model = AutoModelForSequenceClassification.from_pretrained("synapti/nci-technique-classifier-v5.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd337281c551b2b3ad89e721ca4f3366627909f694bc12c59de9aefb895995e1
- Size of remote file:
- 5.91 kB
- SHA256:
- 2ce5fa39fa13d38332e3d277775ca54460569222dd043430cdb027a664ae2b29
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