Instructions to use AnonymousCS/populism_classifier_bsample_374 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_374 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_374")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_374") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_374", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c2be6428fe9e53b617e325d5085abf0530afed2a0e3dbdf2d359ec38cbbd0d3
- Size of remote file:
- 5.43 kB
- SHA256:
- 80fbb0462de6fe1bc7c31695296b404160a6102088d4467b05ae64244efa051c
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