Instructions to use AnonymousCS/populism_classifier_bsample_015 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_015 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_015")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_015") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_015", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 576ee1d1ded32801b65334897439c457763abe7070c4a15e259995874c5426de
- Size of remote file:
- 711 MB
- SHA256:
- 5c6dd4435f3b5caab7ea53393fe9e3861a75f188e92443643c7b32ecc56acf21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.