Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_086 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_086 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_086")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_086") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_086", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6c2d325fce1f6d41dadcdad2efbcf827abdae18a6b30d1aa0cae511811d74ee
- Size of remote file:
- 1.11 GB
- SHA256:
- b7246275b4ec98e58f0fb1851fdae6754df5007eca39ae65db8115d16f0d1da5
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