Instructions to use dominguesm/CodeRankEmbed-Model2Vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use dominguesm/CodeRankEmbed-Model2Vec with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("dominguesm/CodeRankEmbed-Model2Vec") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +14 -0
- config.json +5 -0
- model.safetensors +3 -0
- modules.json +14 -0
- tokenizer.json +0 -0
README.md
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---
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language:
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- code
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license: mit
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library_name: model2vec
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tags:
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- model2vec
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- embeddings
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- code
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- retrieval
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- static-embeddings
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---
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WIP
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config.json
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{
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"normalize": true,
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"embedding_dtype": "float32",
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"vocabulary_quantization": 61826
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca6159081a6e96cebe4ad878e5e8437bfccc761e8db16223370149cd2faa6c0b
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size 64299272
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": ".",
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"type": "sentence_transformers.models.StaticEmbedding"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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tokenizer.json
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