Instructions to use yangwang825/svector-aam-aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangwang825/svector-aam-aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yangwang825/svector-aam-aug", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yangwang825/svector-aam-aug", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress (epoch 14)
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Training in progress (epoch 1)
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Create preprocessor_config.json
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Create modeling_svector.py
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Create helpers_svector.py
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Create feature_extraction_svector.py
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Create configuration_svector.py
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Training in progress (epoch 1)
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initial commit
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