Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_191 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_191 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_191")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_191") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_191", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a2a2da102a9592e1b06cff8f7a9f98df0911c00c12948347debb567517b7b88
- Size of remote file:
- 5.43 kB
- SHA256:
- 3f62cc35b50d6b5a5c67d6526f523a1d5fa6ff7cbfe22364a030e2a150c0b6d1
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