Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_111 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_111")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_111") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_111", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 500affe3e7e1cb667f8404733d1329b0aa8eb09ed649e5c33c219c3ab152d59a
- Size of remote file:
- 2.24 GB
- SHA256:
- c482b97796d336489988a8c33d3fdb8396a26aa1e99149d0630e9032dd9b74a1
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