Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_096")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_096") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_096", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29e03a3bf53fc259f93ac8fc0ea76e75ec2e75f9c232f465ed7f32f17dd2b9f3
- Size of remote file:
- 1.11 GB
- SHA256:
- 03420ba9c93968e729257e231805ea41f0fff8bbeadd899bd4e4c5b31530414e
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