Instructions to use AnonymousCS/populism_classifier_bsample_365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_365 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_365")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_365") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_365", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03e8f215429d407985b6fab99a4745ae15b2d9da14822720e9f41dbb0ee29079
- Size of remote file:
- 5.43 kB
- SHA256:
- e1945072982fdae7bb286c576c60351f39397e9c85e5de6791aa52d69e1f97b5
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