Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_008 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_008 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_008")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_008") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_008", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efedf77ce0ccf2183fd8cc7ca1f32650bd5c82344db4b7661933c09dcafa6b10
- Size of remote file:
- 5.78 kB
- SHA256:
- 7a1ea6fc03ed238b5e4dddeacfc3aa2deae180ae789850ac57c896b872bbe79f
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