Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_252 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_252 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_252")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_252") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_252", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4e1af3d2db3ed337e956392f35ee7e62f4dcab3c82d8e9e4be8d207f6ff7043
- Size of remote file:
- 5.43 kB
- SHA256:
- 5b6519afa408fa99314a9e400187e1b81cef1e5c91f85c0bc6e41c0e714536e8
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