Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_242 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_242 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_242")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_242") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_242", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8751d5e01fa69813ec7cb95c9880b04d6d1a4b34ad1be0f76d4b20f5e732866e
- Size of remote file:
- 5.43 kB
- SHA256:
- d0cfbb1648e943c7320574baea448c07c5746847abb5dadf3bc0e0ef0db6bea1
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