Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_190 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_190 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_190")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_190") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_190", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39fbc466a29a55d103fbdcca1a351e46b5eddd2223ea43edf0d643828b3cace9
- Size of remote file:
- 1.11 GB
- SHA256:
- 0af41d12e4d2cef43f0a3a125e741f3913979e6333610c0e8c4c222bacea4419
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