Instructions to use AnonymousCS/populism_classifier_330 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_330 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_330")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_330") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_330", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c88fb751c476343861a5b85432afee8f9a62d22140d830f06d231efe5179aebf
- Size of remote file:
- 5.43 kB
- SHA256:
- 09238d0e42e4968e8a252c91c94573e5603af7ee9c19d7d712e44f2ed283c607
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.