Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_052 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_052 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_052")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_052") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_052", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a88670fc84059e586e78bffd8792af40fbf9962937b834a4b2da6eac1520f62
- Size of remote file:
- 5.78 kB
- SHA256:
- 6e89c3d7e654938f30db8b25e8f7595a259d02dab7db0b9abc19442f1c2ba3c4
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