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:
- ff65b764853bb307420d123f7669a08eae9c36a9ba094f3a88803963b1003ed9
- Size of remote file:
- 499 MB
- SHA256:
- fda2c3996ba0c52d8812d3d59acef40306ef9a316b451338a064fd2c49e65ca8
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