Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_210 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_210")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_210") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_210", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 386438a4626cb63afb7bfed633ccd7317992bf297c9541a33d6f4aa4afb50ce2
- Size of remote file:
- 5.43 kB
- SHA256:
- fb0027d1856261a755f9a3d7a7d7ce33c0adef77d5b8a507705efb312639d141
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