Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_044 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_044 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_044")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_044") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_044", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abfcbca8237a2f9990508bba4b17879299c18ee8b38c052c2e328d3db5213bc6
- Size of remote file:
- 669 MB
- SHA256:
- 502b026f327cadad8cde73e857e55a20343ea3501a3d021439412db7124f15a6
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