Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_018 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_018 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_018")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_018") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_018", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3f45cc7044c959cfba6c3fca3f847b5153337f4ac2445664deea04e7f3b20d8
- Size of remote file:
- 5.78 kB
- SHA256:
- 024e24c7d9e142e8871982e94482c8920b41f88810a1e3b77531bd68499efc0f
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