Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_109 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_109 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_109")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_109") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_109", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56dadb19a64dfc22c22c931fdf688e494a76739f42f91249dba3f4d98fe9b79d
- Size of remote file:
- 2.24 GB
- SHA256:
- 72fde7b0889b83dc4e64de76df4854fa3f782a46b39625d7173b6e4ace525312
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