Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_087 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_087 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_087")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_087") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_087", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe15a92a2044ba4876ed6e4cad1abb38e05ebc67da9614afb61912927d7ce3cb
- Size of remote file:
- 5.43 kB
- SHA256:
- 4d2ea85916e092c5513b01072591ea1b2e3a0d5784b53676d958bb224850ac84
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