Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_005")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_005") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8538d0c9d0185297d380ca4a8f52bb7a4227686e1345caad9f4328f3adc35d80
- Size of remote file:
- 5.78 kB
- SHA256:
- bb2d5c155a52201a3589cb23db59219ce4f8d57095f0a5df408b90a49499ab93
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