Instructions to use AnonymousCS/populism_classifier_bsample_135 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_135 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_135")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_135") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_135", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b18850855e78cf5c743d6225ba41aff06a8608cae67a7ebf132a7ff6c336173a
- Size of remote file:
- 711 MB
- SHA256:
- df1430266e364ef50429859eac3f6f67171a0c9bca7746b73d187bc497465e1c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.