Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_016 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_016 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_016")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_016") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_016", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73dc2e5042da47794af4eaa32ee3581ad34d42f6ee8f313fe9b83efa4a6dca77
- Size of remote file:
- 5.78 kB
- SHA256:
- e85cd9ad0a4db581fe40425a77fdcecc3e6ec6227b6eb07ce2d8bc0674487071
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