Instructions to use AnonymousCS/populism_classifier_296 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_296 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_296")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_296") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_296", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce33e157e4303caa921c3ebe259f9984e3ead49bee1403a4d31431350e12729b
- Size of remote file:
- 5.43 kB
- SHA256:
- 678bdf893b731a4ae4f0ac76513b3c61ebaba7b69690fd1b8145508861ab8566
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.