Instructions to use AnonymousCS/populism_classifier_bsample_366 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_366 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_366")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_366") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_366", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27c92e81b80ddb3d2c7bafeca1b69bc344f5ba3fdbe4ce5a90ddb68b1a2a422c
- Size of remote file:
- 5.43 kB
- SHA256:
- f7d928779c3bcb75e4d05f6c92d703872f439f9cb01431019c47ec7a46ebbaf6
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