Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_102 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_102 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_102")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_102") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_102", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b089f994257538383cf3d49f17ae3496577efb470aa10d6301601ec8dd83b75
- Size of remote file:
- 5.43 kB
- SHA256:
- ad66f66c081d75ec4f8d9b632e35c7ce0e8a20f24cdb65e1c3800244998c0a38
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