Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_244 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_244 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_244")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_244") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_244", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c2bb1f1923e7f13c69c29cd6fc91afe4239eea7cc7dd369d6b60f0c3ed71376
- Size of remote file:
- 5.43 kB
- SHA256:
- 61e66dabce63e90feed39c41def93d8442cd726ad1f8d6258bdb86779c39ca7b
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