Instructions to use AnonymousCS/populism_classifier_bsample_325 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_325 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_325")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_325") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_325", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea960093b3c44d928a3eb62d5c5d5b5cc194fe302cd77334f137d63531ae66b
- Size of remote file:
- 1.33 GB
- SHA256:
- a8d49c7f31e5367585963054c398490d0d380cad3511f469f872a8418434cd67
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