Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_245 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_245 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_245")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_245") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_245", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a1e68ff7c11214dd65aa19292f6c39897095830787d029c6f8f8196c8665a13
- Size of remote file:
- 499 MB
- SHA256:
- f7218fbb50a816777f00a7d57175613e9df860724d0ae0e7e905d882ebec773a
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