Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_236 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_236 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_236")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_236") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_236", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 846629c3e1786dbf29bc3d844174778aac72e3d218d59463d912c5fff2e9aaa3
- Size of remote file:
- 499 MB
- SHA256:
- 74b03186011a706dbe726a30f91fe8052f3596a6445d506c13eb17f3f2eed594
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