Text Classification
Transformers
Safetensors
German
bart_with_classifier
bibliographic-classification
bk-codes
german-libraries
multi-label-classification
bart
Instructions to use mrehank209/bk-classification-bart-two-stage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrehank209/bk-classification-bart-two-stage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrehank209/bk-classification-bart-two-stage")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrehank209/bk-classification-bart-two-stage", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload requirements.txt with huggingface_hub
Browse files- requirements.txt +5 -0
requirements.txt
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torch>=2.0.0
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transformers>=4.30.0
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huggingface_hub>=0.16.0
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numpy>=1.24.0
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