Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_019 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_019 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_019")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_019") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_019", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c19dd44d11bf30d055ab574d437c41dcf8d080a18f73e06c250711d81f8ed61
- Size of remote file:
- 5.78 kB
- SHA256:
- 9c64b031623f6f0568a176275fe9111d4c743e4b19096d07e2ee2493f104a59d
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