Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_080 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_080 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_080")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_080") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_080", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60287481e715b1c5929fb876e49f72ffd8f5dd4c9ea5fc4ba66fcad47ab10897
- Size of remote file:
- 5.43 kB
- SHA256:
- 4e6e775ea54b51c8bbb49b6280745de134bd1d180fac57d02732d274e68e7fbb
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