Instructions to use AnonymousCS/populism_classifier_bsample_409 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_409 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_409")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_409") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_409", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1087b8970de982b4515e2278b3f430edca572a555c0ec0e39a256a2482e4d5aa
- Size of remote file:
- 2.3 GB
- SHA256:
- a75cd0d65966c591f61e9b135f7979bd35175c36d45a17ea5e89edbcdb3f6c7f
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