Instructions to use AnonymousCS/populism_classifier_320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_320 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_320")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_320") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_320", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30caad949879bfd36427959e3f1f3b5bc33611df0fff23889d93252bf8def7a6
- Size of remote file:
- 5.43 kB
- SHA256:
- b9659b118b20c4e9e39b68fdc100e6f58d40c19b4ac899599ecd9e4f802cb31a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.