Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_026")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_026") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_026", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d25fbfb4c7cffe0a8053740a68b3b43f82c3b6ff082b579db3cc3394f76ffd35
- Size of remote file:
- 5.78 kB
- SHA256:
- eaaebd50eb3c155e360eafdbeb4259c19aa5909cd3a9c49218ac6f3aa3bb3fcc
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