Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_115 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_115 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_115")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_115") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_115", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1692f30e4d6ac2087b3fcc5215cbd3b9f51e0bf563084d8d0a403468bb70fc4
- Size of remote file:
- 2.24 GB
- SHA256:
- 94ff803ca6448e0856f873bf70f489ca3557896d7a779c457087698195240fde
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