Instructions to use minishlab/potion-code-16M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use minishlab/potion-code-16M with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("minishlab/potion-code-16M") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Add Semble reference, MTEB link, and Semble in additional resources
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feat: add dataset links to model card
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Replace inline training script with link to train.py
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Move training script to train.py
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Fix model ID and update dataset IDs to minishlab convention
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rewrite results note: simpler language, clarify CoIR task scope
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add task relevance note below results table
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add hybrid retrieval results (alpha=0.5, AVG=40.41)
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remove incorrect NL->Code/Code->Code category columns
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add NL->Code and Code->Code category averages, fix row highlighting
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fix markdown table separator row
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sort results table by avg, lead with AVG column
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update results table: add CodeRankEmbed, potion-base-32M, potion-retrieval-32M
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