Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_208 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_208 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_208")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_208") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_208", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94b7c6bd6907e029d03e2ee325d746dbda5e33b47a10793f052ff41459c4c877
- Size of remote file:
- 5.43 kB
- SHA256:
- 17777fb66e5311b17cc59d284fee550dfdc60ffde042db48eabc3b3a95031a67
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