Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_005")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_005") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9470212a1e95682d7ea2698f5b106f9f011a313d722cb79fe1caa5cd2621439c
- Size of remote file:
- 711 MB
- SHA256:
- a3a898a6b0979d45016b17bbb6c09dbe4f2780c82d44496d056aa0cbae9df19e
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