Instructions to use AnonymousCS/populism_classifier_bsample_374 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_374 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_374")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_374") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_374", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 764f84b506a753fdabb43145913b0a256c909976ec674e90f9e2806085eaadd0
- Size of remote file:
- 1.34 GB
- SHA256:
- da6e28863bafda3aefc5a6dbe80dc554bf1c73259a28a78f37ecbe8a865747c2
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