Instructions to use AnonymousCS/populism_classifier_bsample_022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_022")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_022") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f3140d3c69e6349ca8584ea5d8d9bc4b015560b67395dfc5ca0e4a175d12152
- Size of remote file:
- 711 MB
- SHA256:
- d366df2024ddc484d34508c78cdb229d5ff3d122d178a86d597032b9a5e6d4ae
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.