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:
- 4ea711a3b63c1cdd504b60acbea9c66bdbd8658749132bc343e031097de88c3e
- Size of remote file:
- 5.43 kB
- SHA256:
- 54aa599dfe2a5f1e45c78b5bd6d1b665dad64b8e21edb28e91ae405d6973340a
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