Text Classification
Transformers
PyTorch
Safetensors
French
camembert
Trained with AutoTrain
Text Classification
Politics
text-embeddings-inference
Instructions to use mazancourt/politics-sentence-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazancourt/politics-sentence-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mazancourt/politics-sentence-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mazancourt/politics-sentence-classifier") model = AutoModelForSequenceClassification.from_pretrained("mazancourt/politics-sentence-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd9ca8fcd89f9660efea4bee1dd76384d3ed8baa194cc23fecd76237a82a7fe5
- Size of remote file:
- 3.06 kB
- SHA256:
- 6dabed3e3a412ffa27122fc03c49eddc1a1145c3f0aec89620471820dae62606
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