Instructions to use AnonymousCS/populism_classifier_bsample_153 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_153 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_153")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_153") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_153", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d625a8884f4e0f0ffd8dbfaab9fdecf6e7ed5e1b97345a57024521eb2f2676c6
- Size of remote file:
- 5.43 kB
- SHA256:
- 964918f19f7f9f5a138f29955579c73bc8a117fd55d6fae9b1f32023a6ba1ecd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.