Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_088 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_088 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_088")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_088") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_088", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5b43b1b218d5bd62ef93478d3ab926cf708f1700fab47082f6fdca7a3ebcbda
- Size of remote file:
- 1.11 GB
- SHA256:
- 9443a1a6ed96a7856e9908189d3693e0bc9a30984aad7f281bdd37e085e627db
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