Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_235 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_235 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_235")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_235") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_235", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c34625c1734624a77575061597187bafe9d42afbb7032d7e20180d8493e2336a
- Size of remote file:
- 5.43 kB
- SHA256:
- d04886346010cd2ed8bac7870b04a560d699c8a2c10ffc53a2be9ab6086b34ab
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