Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_101 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_101")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_101") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1a51d9bcd4a32398af28cf12441e52b0d64f458822da0c9c303375997eb2ac7
- Size of remote file:
- 5.43 kB
- SHA256:
- 1633baa91f317b24feb9f7569654c2817e33af3eb4c6d6cec51771cb6ee9fc3c
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