Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_017 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_017")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_017") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_017", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb0167c470d74a5efad237aef693f14737f0bf7b08ec5ddf94ad79182b7eef32
- Size of remote file:
- 5.78 kB
- SHA256:
- d05feb52ae0f0a500f38fbd22e7ce0eef0b2d9c0455a4e5dbd52228b1504409e
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