Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_028 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_028 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_028")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_028") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_028", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2014be70c0ee545f2d2b8c70f4b330a531a4784b6afa12d2b9cd3c8deec6b97a
- Size of remote file:
- 5.78 kB
- SHA256:
- ea757b8d19fb9a764ff51a412f4df84aa8ed792d2c209c8a414e6d50c29e3717
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