Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_223 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_223 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_223")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_223") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_223", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa3258db92c7423022dceb32ee56e6e6b910ccdff53e8853294eb9202fb3a6fb
- Size of remote file:
- 5.43 kB
- SHA256:
- cfe10ff2e89e6ba380ffbef8ea9e055a296a41b38da0788b58552051752812bb
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