Instructions to use AnonymousCS/populism_classifier_bsample_382 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_382 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_382")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_382") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_382", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dd2de672e2153fd222e8b308a884ce4f55cb38574543619933272d23545ad1d
- Size of remote file:
- 1.34 GB
- SHA256:
- a4430c6d01fdef9556a3db6a64261746e6de921480e462cc8346650a182e6314
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