Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_224")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_224") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec398df67e23aa1a8cb4377f9750011b8e29491282082cd03f84425b1f922930
- Size of remote file:
- 2.24 GB
- SHA256:
- df0f7dceaa2bf83f950d2f7db1025331fc80ca3143faf79f0ffd0e20c0daa1ef
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