Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_211 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_211 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_211")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_211") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_211", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ccdcb59d5bcf2257223b36e065278a66f19cb9db054982c1e9c2da1f4a7dc45
- Size of remote file:
- 5.43 kB
- SHA256:
- 6f4e8ca36fae67e1aada1e6654a7b9388861b59fc0e617eee0550ee8a1657b61
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