Instructions to use AnonymousCS/populism_classifier_bsample_402 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_402 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_402")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_402") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_402", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72535d234c81d52f4715057c39651aa9a906dd411936cdaf3146a70cc4d293d1
- Size of remote file:
- 5.43 kB
- SHA256:
- 76a89d33ca06d24b79aad545f654d8d35c4f4cb2b57b7d6a44d8663863402328
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