Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_043 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_043 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_043")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_043") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_043", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dd7b87084c66a16a0e727fa39848b676238b8ab77205de02c21cd9916b31bf3
- Size of remote file:
- 5.78 kB
- SHA256:
- 56f38f836543edfc19eadf2fce4f8be41fcb1f89f29327cdd1d288cd5e6c1758
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