Instructions to use AnonymousCS/populism_classifier_bsample_034 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_034 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_034")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_034") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_034", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d352bccb2150b20a10a0bafc51948db28b6c45316095b31232d5fa2eb46fe0f
- Size of remote file:
- 5.43 kB
- SHA256:
- 8dd5cfa7592a9f297f4cac5d2ff3db15ef50085ed829a8c3990b94ffb8ea2146
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.