Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_219 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_219 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_219")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_219") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_219", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67a9ec2f6ef0f7834ec77c556e5057c86903cf2067af729ae4a8aa7cd3f40971
- Size of remote file:
- 5.43 kB
- SHA256:
- 70707973232eef756f1b24e0f26df044c8a19a92469ed2353228fb4ff6fc42e5
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