Instructions to use AnonymousCS/populism_classifier_156 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_156 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_156")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_156") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_156", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 240638e1272696fc78e1db25d8abaf699702c2ef6062d503003c85f1ebe4f544
- Size of remote file:
- 5.43 kB
- SHA256:
- 29d0fd206f11f31c239d32275ef20d2a9ca4a4c49d6fde852eae1e95a557ba38
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.