Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_212 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_212 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_212")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_212") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_212", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14dac2328f4989391e3a873548c959059ff92d53181dbcb854c4b77c0c0e9c77
- Size of remote file:
- 5.43 kB
- SHA256:
- 05e5cb083800c36842a0c3f26a19cebd9883ba3e9ef0efd487780fe0e3a4a1be
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