Instructions to use Sujithanumala/Propaganda_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sujithanumala/Propaganda_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sujithanumala/Propaganda_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sujithanumala/Propaganda_model") model = AutoModelForTokenClassification.from_pretrained("Sujithanumala/Propaganda_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33e1ea337ac76364616c9d095eeedf9c10efde984036e7ddff294dbef2d20532
- Size of remote file:
- 436 MB
- SHA256:
- 918ca907da50df10904cff49382ba0cfbd37024810a21aebd16a9cfad68a886f
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