Instructions to use AnonymousCS/populism_classifier_374 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_374 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_374")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_374") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_374", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a149aa4a72f145984f7826f5d5c992e414293711a9589791550e06b608ceb6a
- Size of remote file:
- 5.43 kB
- SHA256:
- bc1950da28c7b1419e1bec10e9c9e7e7d8dd5268dc0928c0fb21c74680ad7117
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.