Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_234 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_234 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_234")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_234") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_234", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018452a208a3fd5e92b5c078bf85f85a80847c88a84f97568f475c1f2c0d4ef8
- Size of remote file:
- 2.24 GB
- SHA256:
- c7cd6e1f14066f4458a5fb23d47fd1222b5b50b0dcdb04737b80dc1a59a6b172
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