Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_211 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_211 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_211")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_211") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_211", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2bd8f1f52944f48ead93970f89b2eee56a1de110e9e3e91fe9e6fc0f44164dc
- Size of remote file:
- 5.43 kB
- SHA256:
- 02aaf96f97a3021e3e04ed7f31a03e2a68213bf31f21b931275d13ea363cefe2
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