Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_099 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_099 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_099")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_099") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_099", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51564ac1ea2a87969ee6ad2389d4a6686d8628068e437ea228d3a72cde540725
- Size of remote file:
- 5.43 kB
- SHA256:
- 7e26b2530dff50ecf8f22842b7cbc0ad75e78ed94fb2daaa22a32c1fd9ea180b
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