Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_225 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_225 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_225")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_225") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_225", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e47737cce3d1179fa8c171a5e555c68c2c82beef12d0bcd61f861e7ff0593770
- Size of remote file:
- 2.24 GB
- SHA256:
- f9d84460bf510951cb696690d7d2115f1e1398f19c3a18a7c7a4096f13125041
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