Instructions to use AnonymousCS/populism_classifier_bsample_035 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_035 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_035")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_035") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_035", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36ffe8b2993afabb6c10c010f264279ec7f139bc595f3997369c3ebe6a165fec
- Size of remote file:
- 669 MB
- SHA256:
- 44bebdb67805222dea289c6bc6b2062c5c7eaafd4166ee170f810992a78d3615
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