Instructions to use AnonymousCS/populism_classifier_bsample_375 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_375 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_375")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_375") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_375", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11a797834ef6770e35f7feecbe2ab322d5a08c1b3add80783241eb5b4b4e4b7a
- Size of remote file:
- 5.43 kB
- SHA256:
- 96691f7f9f3478e2e9fb124aa3f569a37cf99d9af905c615ca3ce2e126089e2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.