Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_211 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_211 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_211")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_211") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_211", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb7dbff636a822b73b79bc601fc3068b483a8384a5fe70872cfd52ad30767c86
- Size of remote file:
- 2.24 GB
- SHA256:
- 0e4c5dfcdbaa380b7a2fb82dc6461c57273877cfb030590ba82f48be1e84df94
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