Instructions to use AnonymousCS/populism_classifier_378 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_378 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_378")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_378") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_378", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43f65aa004c4c0446d4a165898923871d28d9ed062aad0ac49da797d6fd9b4d0
- Size of remote file:
- 5.43 kB
- SHA256:
- 3f068eaeb1ab47fe47946aaff707c878a59acd3c3696dcf9a406ed0a8c4db003
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