Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_104 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_104")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_104") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_104", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3f3a4ce6e3b78513736caa9ea1c522ffcf05c37b7506a41d4f47a5cafe29b32
- Size of remote file:
- 1.11 GB
- SHA256:
- 19ba9bc44a79a52c72a1e7acd84efb658484c1d8de3d9d4c55e567500cc6b896
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