Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_113")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_113") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_113", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcbf904e14cc5f8f272bfbfe31143bbbf3e4fed0a9a8137945c7e5ded74ea3fc
- Size of remote file:
- 5.43 kB
- SHA256:
- 36ddf729438d6868ffed2bc52a268f8ce14016fec8d2e36855d217c13f992360
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