Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_189 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_189 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_189")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_189") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_189", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bec4b61e806b6e730fed3837d58c5b53f44c9c0566b99c92bd6321ee69debe6
- Size of remote file:
- 5.43 kB
- SHA256:
- a3e73925d6e0ebe384e7cc0ba507fd14d201bb368097faa42f03e185ba722ff2
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