Instructions to use AnonymousCS/populism_classifier_327 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_327 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_327")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_327") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_327", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 374bf639275a39a41e23d3f9eaa2860bc7e20b48d0c992465955343f8d5db962
- Size of remote file:
- 5.43 kB
- SHA256:
- ac078a2b61fc94425f44196d52003878f839431cd076e9f58fe68514a945f4dd
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