Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_120 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_120")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_120") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_120", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e8bdefe28b36fa9a3057c2d7959c941970d8ce2631cdf4ed406e8a658d796ce
- Size of remote file:
- 5.43 kB
- SHA256:
- efe7ed7c42f6dd5ba86c55d12b4783e43f3a77009fc2628507de643a4dbb17e6
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