Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_194 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_194 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_194")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_194") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_194", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdc1a0da25de1646ce39beb8f291e2498f613ceda8a7344b6422b92bcfc79eb4
- Size of remote file:
- 1.11 GB
- SHA256:
- 842d7b0fd2b48eb82fd3bb7cbe8aff241fa815b6137cbed275297d24127bb8d6
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