Instructions to use AnonymousCS/populism_classifier_bsample_180 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_180 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_180")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_180") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_180", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60937456222deb1c161a4af3d2bc9d35b0e067e988d0b2cf44134e9532afac34
- Size of remote file:
- 669 MB
- SHA256:
- b9bfff4d006ef822f3ff69b12787032e2234177c98a7ecaec9a88587c88c6627
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