Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_196 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_196")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_196") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_196", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c95c054d6fc7dc7639b04479b6a3f8a5e2be4ce25ec62684da23b7b85bb38618
- Size of remote file:
- 5.43 kB
- SHA256:
- f95fe9073ae9a821d6c5a73fa25004dc6339e69b7af72404a08dfaf821260a44
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