Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_239 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_239 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_239")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_239") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_239", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0bdb48505d4c656f19db5977c474359490e82c8bfc9a4dc24ea1931e57e4599
- Size of remote file:
- 5.43 kB
- SHA256:
- 08132292c656af890054dfe66c631a0c37050b513b281aa0acb9522cba177bc7
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