Instructions to use AnonymousCS/populism_classifier_307 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_307 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_307")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_307") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_307", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ab045201244d3d2610ecb2a5015b800f59088bfdc91ce6fbb3b8584e9aa77e1
- Size of remote file:
- 5.43 kB
- SHA256:
- 7bbc64dc03b8ecdd5c96e9ab604e99b2c25be9a6a318ec8f6998852e68e29a29
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