Text Classification
Transformers
Safetensors
English
bert_universal_classifier
feature-extraction
bert
insurance
universal
kinetic
riskguru
custom_code
Instructions to use injala/bert-universal-classifier-7class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use injala/bert-universal-classifier-7class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="injala/bert-universal-classifier-7class", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("injala/bert-universal-classifier-7class", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Export 7-class Universal BERT from best_model.pt with production ReLU architecture
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initial commit
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