Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_022")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_022") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28d0c0103d102b110e13a841db433696606b14931cca05a77b2c7d7c64979299
- Size of remote file:
- 5.78 kB
- SHA256:
- 752a85160ac03e22535b8c898bfa11fe1518db27b279a015a13a88428c75a5a7
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