Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_219 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_219 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_219")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_219") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_219", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee9bbbd70f13aa282260bf48e7493ab2d132c0ecc2d29fee1dc223da30ca6b57
- Size of remote file:
- 2.24 GB
- SHA256:
- fb8dfc688f4db44fa79c5a507868094e12bd4131c09df113ee30003241b5665b
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