Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_210 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_210")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_210") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_210", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62aa8890b667a8fe6db16719e67e0ef620f76734a16dfbb6d6de5172c84fb3aa
- Size of remote file:
- 5.43 kB
- SHA256:
- 266d973dcad1d0066407a8702c845774da95c3670387a8b9a0d3d2ff3d0c8db2
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