Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_110 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_110 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_110")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_110") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_110", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4794f2011e981264f6801545e1c29c5a80f86d13bd8b22feee35ff714fd6736e
- Size of remote file:
- 2.24 GB
- SHA256:
- 3d62fb06251120a8e1d73a5f681481663446d1d32f6e503c448f465af509b2c3
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