Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model005")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model005") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 920834667663e4d81052da1917189088df3ad210790a392981e487811677a861
- Size of remote file:
- 5.37 kB
- SHA256:
- a5ea20a6ea6bf0b12ad86e56e4424849b9044b720837810bafcfb3997cbcbeff
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