Instructions to use AnonymousCS/populism_classifier_bsample_319 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_319 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_319")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_319") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_319", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61a05e0520b179e3546202646f822925a1010ff0f03753552207182a49b7dc56
- Size of remote file:
- 5.43 kB
- SHA256:
- 04dac72cc705aa3672250239b936c5eac8f4ef84c91751d32ff5e6e952ac67be
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