Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_200")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_200") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_200", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f2ea6d2ed780a37d253930293fa5afe6f8a502e224907d51a41bdeb5d67ecaa
- Size of remote file:
- 5.43 kB
- SHA256:
- 6f51f37a5fe75ec1c02d2e9dd5f45a9ac67c345726936aee06740f4b5f303133
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