Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_045 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_045 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_045")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_045") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_045", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0caf419191627f2079d9a4de7ae2a8c36dc3b19524c730f5bc596c9d4378fd4
- Size of remote file:
- 5.78 kB
- SHA256:
- 67c6a318c6806942effeb9b248569767bd86788b39b8a02e3a051d86146a828c
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