Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_206 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_206 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_206")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_206") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_206", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd5db46d6e87dc14b0ef2f78144e724c1a3bcbc7cad8d93fb15c47a0e74b4c7e
- Size of remote file:
- 1.11 GB
- SHA256:
- bd8c16603313ac65347d47845e366867f5eb02735943875a757b8cc2230b9d1e
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