Instructions to use AnonymousCS/populism_classifier_410 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_410 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_410")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_410") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_410", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae3067e9b239f26143d7f644f6f2e74db0f4dd65cbffacc803f97f82c6ea1b83
- Size of remote file:
- 5.43 kB
- SHA256:
- badb20288754208f9d61f66e8c7d11560c2a60220427735ce14d6ab5fe50ceda
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