Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_245 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_245 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_245")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_245") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_245", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca7297d7a0c39dc2d6969e8b0d68ff7b239bb359fd5cdea6b956aa5cf91f9307
- Size of remote file:
- 5.43 kB
- SHA256:
- fc8a92f04cd59cb0467f3b4b044014d3f52ee9c93cca8ec5644381c6ce5316e0
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