Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_246 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_246 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_246")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_246") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_246", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01dfb8c4b8b3202e1ba7b2f27fd862f87206c74406d26399a8a4f8079d33e7ea
- Size of remote file:
- 5.43 kB
- SHA256:
- be113bcce969d6c6498fa62e6a7ffac34751d49b004e1e5dc4f5b6a8db48f2c5
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