Instructions to use AnonymousCS/populism_classifier_bsample_354 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_354 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_354")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_354") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_354", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 888aeb3eb1573d642438346fedee03e55f0d09ea37c020314c14700870f76ae9
- Size of remote file:
- 438 MB
- SHA256:
- 8a79abbe3dbf6c5e48ae481b0d7a033e799e5439bcc9066a7f478d896e5d1909
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