Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_111 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_111")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_111") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_111", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 529d798fb09b938f14c5128d652f736f02272ece0fce080cbd54ab190fc08cf3
- Size of remote file:
- 5.78 kB
- SHA256:
- 817cd2c06e203ecfb01fbbbd98392b68a14ba84c1fbd50dc85b2336b6143bcc2
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