Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_108 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_108 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_108")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_108") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_108", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9a76297ad240b51c901a0bca7b2c8c22ffbee5406aa9b3071e68304bb82dfa9
- Size of remote file:
- 5.43 kB
- SHA256:
- 8f0593247fb94938d484e4abe680bcf9e3c489131d724fd745921a36cecfa209
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