Instructions to use KevinGeertjens/bert-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevinGeertjens/bert-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KevinGeertjens/bert-classification-model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KevinGeertjens/bert-classification-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95013b6406d42ee05881a86b4906a9d79788013d2f13aab80fcf1da9a325ffd0
- Size of remote file:
- 672 MB
- SHA256:
- fc4263b34d694e1985ba5f30ff508f1d307614e09914270b24136661769254c9
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