Instructions to use AnonymousCS/populism_classifier_bsample_372 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_372 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_372")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_372") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_372", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b970b51760861edcfa63814be9ced5571e7ed72423e560e5abe9ac51932f5552
- Size of remote file:
- 5.43 kB
- SHA256:
- b3757bb0eb04fe31a154a584d74b25ed8da9eac5e0f392a5b8b4e5a8382c6084
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