Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_047 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_047 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_047")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_047") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_047", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2a027f221286fb18ed578dcac46038449c60edf95491166dfbe2f419fe359d5
- Size of remote file:
- 5.78 kB
- SHA256:
- 620024cc43022591016da98ee76b20bd510952b921e3034551e500f14a025729
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