Instructions to use AnonymousCS/populism_classifier_bsample_033 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_033 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_033")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_033") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_033", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab2115be296188b2e29a6bc4e58a92fd6812ed0367f3994a2553f62947e2e6b7
- Size of remote file:
- 5.43 kB
- SHA256:
- 56582cb5d05227788b35420c1d77943d371fe292707c1f0b606749ad525ae930
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.