Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_105 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_105 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_105")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_105") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_105", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ff88fadaaaccc4370a58d9a376c81a78fbb65e59efb6c47b2ba731934129c7f
- Size of remote file:
- 2.24 GB
- SHA256:
- 3f2b918fd649d4ee5da1f4c177889390de94d0fcfb4066f3d9d88c3302539efc
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