Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_259 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_259 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_259")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_259") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_259", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc94d65dacb4ebba24be4af92f50369aad318c3a412210a1186554673906ded1
- Size of remote file:
- 5.43 kB
- SHA256:
- 9959e190d4ec20612e165c1bec93c438cc819c1cfce00be44cfe6a942079f463
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