Instructions to use AnonymousCS/populism_classifier_bsample_154 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_154 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_154")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_154") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_154", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c9d0801cd6cab10e4d879fdd3214492aeec3158f2fef2328bd51669fff769c4
- Size of remote file:
- 711 MB
- SHA256:
- 7ffcc3b3afcb22db50acfb525d02ad74b351990a2b03fd9a79c5939f295ec3bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.