Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_124 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_124 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_124")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_124") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_124", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec35b36107c9cd20299091b1d033f31e1d3c386805bb3c5adf15d33f1948f9d1
- Size of remote file:
- 5.43 kB
- SHA256:
- be6f5911eda65d5fa7f5576f4c4ab47babb887535019be589dde25edfcb896b5
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