Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_192 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_192 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_192")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_192") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_192", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d01d382e365a402ea3fb8570e9bec786d9dc07c5cf000e170fc247518c111d0
- Size of remote file:
- 1.11 GB
- SHA256:
- 053c882edd9b62078d095c0e7189352557b5612d3f62971c7da753247a03235a
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