Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_217 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_217 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_217")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_217") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_217", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec86b79bee3e96ad62af3af384fdd2057048701483e802841478aa37ea3a8528
- Size of remote file:
- 5.43 kB
- SHA256:
- fb3d24534e348efd86457f5cdca6666585b6ff34b0b6a20693f5132de4b9b8cf
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