Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_237 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_237 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_237")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_237") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_237", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6857cf4a6b2b3db546f4d052fbf16d179b33b3ac56b894ec7999f38b90f8854a
- Size of remote file:
- 5.43 kB
- SHA256:
- 64117bcfe8fdc46f10cab746072d0aead8eece74631f7d93a59507776c1f6ee9
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