Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_126 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_126 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_126")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_126") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_126", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61d1b72ffa389c31bab02453223b62bb021bde20241a46afd207278ef0de2647
- Size of remote file:
- 5.43 kB
- SHA256:
- 140c99c4a46861804c1f3b6fcd66aa149227cd62eae98cfb21232d5c1d73ed6a
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