Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_045 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_045 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_045")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_045") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_045", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc13df38cf11953d96fc875d4333e95ae331965e7569f35dbb5e61f5be2473d3
- Size of remote file:
- 669 MB
- SHA256:
- 890a5b7e050f239998322564c9664a9a69b395b79341ca79c031451f22235aa0
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