Instructions to use AnonymousCS/populism_classifier_bsample_343 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_343 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_343")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_343") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_343", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67b78ff8e846e8d221556fd52525859f046f887ab624a871587976131dd308b1
- Size of remote file:
- 5.43 kB
- SHA256:
- ac065fc15cd2ed2feb83b0b2a4809fb3cf1899458065ffe444fcd55b0f7780be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.