Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_034 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_034 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_034")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_034") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_034", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f63046e40aca087d69a750c6a6a7bfdac19f0321d1547cc2c5238b9abc7f948
- Size of remote file:
- 669 MB
- SHA256:
- 6493a42189f693cb2a0c4bea54e5eedc09dfe722d06615ed0fec6cb502e82578
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