Instructions to use AnonymousCS/populism_classifier_bsample_416 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_416 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_416")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_416") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_416", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a819eaa48da473f0b6f07b5f5799e78aef7187f743296fe321859e107b25a9ae
- Size of remote file:
- 2.3 GB
- SHA256:
- b711a5cfd0420a5db3822a13e194e39d558e28a3c236e3bc62ba579f8d67d5fd
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