Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_021")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_021") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_021", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fead164f526d2b6f1b4769331f99daee8b3e3ca23eeb671d2839a5f0957b8f89
- Size of remote file:
- 5.78 kB
- SHA256:
- 5003a45b8ba2fa897222713eae2de526efe6aa10c6bf96214143ef8cd0e48d84
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