Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_048")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_048") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_048", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed50f1f6d10e5ee429214dbbf7a779f643a78e5ae07741c40e435a1951b562b4
- Size of remote file:
- 5.78 kB
- SHA256:
- 869e24f9471cb144144335245ca83f5cf5ec92369256f7d0ac92da533c1a33cc
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