Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_088 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_088 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_088")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_088") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_088", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ac96af0d7c6b2a590abc35577173bc5d37e33786967533108cedd6dd2a7e5ec
- Size of remote file:
- 5.78 kB
- SHA256:
- b4120d3147828359bf4d5dc581ab42238399ae22c68cdf3268fb2e13a6440f00
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