Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_107 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_107 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_107")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_107") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_107", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14374e6649bb4a63c2557c4591f647079c2167210ecb8cbe517a65a5640562c4
- Size of remote file:
- 5.43 kB
- SHA256:
- 8e4353d4ae5b80f2b8bdcbcaf268d6ecba99538d545c5874a4f707fb4d24d19e
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