Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_240 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_240 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_240")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_240") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_240", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e69ad58868d0579847ec89371b9ad1cb8e0668b5d5bf03d7940f906cccdb20f9
- Size of remote file:
- 5.43 kB
- SHA256:
- c1ded801f0550f9b208724fb397c056a8a285722061620bd35e85d9a2e11d76a
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