Instructions to use AnonymousCS/populism_classifier_340 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_340 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_340")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_340") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_340", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56dd1ed03b7875a76cc467e5c9f99f03f4cc3f96971bb4eb9c851379b9883dd2
- Size of remote file:
- 5.43 kB
- SHA256:
- 7c35be8cbb88acd1ea46a34913377aa8f898c25317fd048d44b863cf28728c07
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