Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_024")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_024") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64ab2cebbf1b66206cbe0b11e599ceff2dfdb276d2b78af9fd6ce59c84a8357b
- Size of remote file:
- 711 MB
- SHA256:
- 7169c5072c324498dea6522470fb4016c6305b83df8fab66c4c84e7c06c522a8
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