Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_207 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_207 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_207")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_207") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_207", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e200670a245801f3bf46acc4d4a864d93b152403c0ddb067618c67c26a18c7c4
- Size of remote file:
- 5.43 kB
- SHA256:
- 90e8fcfba58faf0d6a931cd1ce8ff929408ae90d48fc07013d933d7460a96666
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