Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_184 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_184 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_184")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_184") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_184", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98d8ef1228077748d3095465b1ce25bcc5fcb7296e48a370f39f2cb6acd98bce
- Size of remote file:
- 5.43 kB
- SHA256:
- 19e95cc0be83dd325806172f548d5356ffe88be0984a9794d25ab415464cc314
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