Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_127 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_127 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_127")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_127") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_127", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed72b769207d927e270985b1f333203bb22f275d01dbc63e156c17b873fa6473
- Size of remote file:
- 5.43 kB
- SHA256:
- 4b3d0f1df60bf7e4882971dd456cce429407029376fae1a686abf0cd3fa37b4c
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