Instructions to use AnonymousCS/populism_classifier_174 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_174 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_174")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_174") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_174", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5b6de4d07f8f160908fae89d47005d57cf5114afb22569757dedfca30ba6210
- Size of remote file:
- 5.43 kB
- SHA256:
- bd6ee473e2868169d6a17700dd58c192ec5417db10c9ee35866cee5e9082608c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.