Instructions to use AnonymousCS/populism_classifier_bsample_314 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_314 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_314")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_314") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_314", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c2bda54e4f0f4b5acbf9340a580cf1af1293239738b84c69257a49fc38607b9
- Size of remote file:
- 5.43 kB
- SHA256:
- b4571df460315959b5703622301e81087dd60b4c0fb20602c2ebf519d785527d
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