Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_225 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_225 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_225")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_225") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_225", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03474ca92f029eb4ffa7056593600783676973e3742afc76bba7acd71882978a
- Size of remote file:
- 5.43 kB
- SHA256:
- 78290335a644cff714ae009a9960696cb5bfb1e75843acc9adabfeb545e3df3a
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