Instructions to use AnonymousCS/populism_classifier_bsample_131 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_131 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_131")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_131") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_131", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d11701e4bc5d5758580415ab48cd3b2c7f21d83d3663076aef88a7e9849830f
- Size of remote file:
- 5.43 kB
- SHA256:
- a192b98582d2bbc6811be183320f1c4151ad41c282bc9bfd88f67e77073f139e
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