Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_220 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_220")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_220") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_220", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4e6a793a5bdb3ac0b2d66fcb25df74236e6b613814432c76369807cd2a7a353
- Size of remote file:
- 5.43 kB
- SHA256:
- 36f5d456d75e767a06dfdd1b004ed9137fc37419dbf1c5a27cda5bbb77abf7bd
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