Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_030 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_030 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_030")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_030") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_030", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5811629ece6248e99089485427ff50649b513baa6b839ae8f3b5c018f29c0a4f
- Size of remote file:
- 5.78 kB
- SHA256:
- 644da37644d9d0f85ecd0300581e1a12e14fffddb4718990bb85497c6905e7f6
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