Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_102 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_102 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_102")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_102") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_102", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22deb0d4ac933ee9f39515073041ef95af59319fd6a701a9b1e9b267cce5afa3
- Size of remote file:
- 5.78 kB
- SHA256:
- 2af824c6a03d99718c39dfe70393b8e603fbd9d92219f52957e8e1f70689c809
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