Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_095 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_095 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_095")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_095") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_095", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc7d9fb978ab77209fdbf7e7c3eb5ecb765596c92b9136e8ccde8a2c81a39122
- Size of remote file:
- 1.11 GB
- SHA256:
- 43ec06778041cae531658696a4411fb1ee2d6719fd8a14a34c0f3b804c1c2641
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