Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_092 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_092 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_092")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_092") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_092", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d3e9d06b0c1699834704a3f5095a244478e070907195b656de1fdf0c3281cd5
- Size of remote file:
- 5.78 kB
- SHA256:
- 100dcf84ce3607fa306bff42fcf034e2ac7c4805015833976e7d152e963f4361
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