Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_201 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_201")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_201") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_201", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8be564441f2e3904c5bb6b916efa0efcd0a854e315fad713922782a2bf9e1a0
- Size of remote file:
- 5.43 kB
- SHA256:
- 91d1b4ebfa011719e401ee93c79da5a5627d42e6d6137d5e937afa79720c4a2e
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