Instructions to use Swakin/spt3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Swakin/spt3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Swakin/spt3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Swakin/spt3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- sentence-transformers/all-MiniLM-L6-v2
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new_version: sentence-transformers/all-MiniLM-L6-v2
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pipeline_tag: text-classification
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library_name:
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tags:
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- cool
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- conversations
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- sentence-transformers/all-MiniLM-L6-v2
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new_version: sentence-transformers/all-MiniLM-L6-v2
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pipeline_tag: text-classification
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library_name: transformers
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tags:
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- cool
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- conversations
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