Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_217 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_217 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_217")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_217") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_217", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 085a5a846131322e52ed5138dfe51cc38e442c28360325f5625c5b62ea870c40
- Size of remote file:
- 2.24 GB
- SHA256:
- d693e5e97d4f7b951a5af39cde048f68bacd02a7cbf5036c66d51e9e8fbe35d3
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