Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_233 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_233 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_233")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_233") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_233", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 324ea4394e343196532480ef0cb2a0bd52854717b473d4c75320be1b620beb58
- Size of remote file:
- 5.43 kB
- SHA256:
- 222ff1c5a57586e39ad100d9c60f789e89160a2eb7586f41a057352fe2294ca7
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