Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_187 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_187 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_187")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_187") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_187", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6761e6ad9522a71b0da3afc7980a12ce1410bf8115c425c1e67c7f3bad5bc61
- Size of remote file:
- 5.43 kB
- SHA256:
- dc5f6443f11dde4d447abb83d7d0512166cbb6bad6a4eb46dff05bd996ea01c3
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