Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_087 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_087 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_087")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_087") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_087", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0a10d1b0639fdf7aa3253221d64cd7e7c0a94c8df1b489d894cb3d7b440ace2
- Size of remote file:
- 1.11 GB
- SHA256:
- 9cbb1ab230775852e6c7080578742d2788384bf95f02436f0d54c14ddc5af911
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