Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_115 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_115 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_115")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_115") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_115", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 771fd7b3c787854619c5c9fb509755135bcdd227722b972a03de428787ad08ae
- Size of remote file:
- 5.43 kB
- SHA256:
- 6df2aa3e2cf18ddf7a5ca41674f6b9a50e1dd84081a376e3a1c5f2398b1a9e63
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