davidmezzetti
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Parent(s):
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Add model
Browse files- .gitattributes +2 -0
- README.md +26 -0
- config.json +18 -0
- documents +3 -0
- embeddings +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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documents filter=lfs diff=lfs merge=lfs -text
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embeddings filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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---
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---
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inference: false
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language: en
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license: apache-2.0
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library_name: txtai
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tags:
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- sentence-similarity
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---
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# Introducing txtai model
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This is a saved [txtai](https://github.com/neuml/txtai) embeddings index from the [Introducing txtai](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/01_Introducing_txtai.ipynb) example notebook.
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txtai must be [installed](https://neuml.github.io/txtai/install/) to use this model.
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## Example
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Version 5.4 added support for loading embeddings indexes from the Hugging Face Hub. See the example below.
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```python
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from txtai.embeddings import Embeddings
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# Load the index from the HF Hub
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embeddings = Embeddings()
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embeddings.load(provider="huggingface-hub", container="NeuML/txtai-intro")
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# Run a search
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embeddings.search("Tell me a feel good story")
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```
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config.json
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{
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"format": "json",
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"path": "sentence-transformers/nli-mpnet-base-v2",
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"content": true,
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"dimensions": 768,
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"backend": "faiss",
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"offset": 6,
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"build": {
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"create": "2023-02-16T21:50:20Z",
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"python": "3.7.16",
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"settings": {
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"components": "IDMap,Flat"
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},
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"system": "Linux (x86_64)",
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"txtai": "5.4.0"
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},
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"update": "2023-02-16T21:50:20Z"
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}
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documents
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version https://git-lfs.github.com/spec/v1
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oid sha256:d53249962e8c142842b577c5639bb0694d64647462cbb85ee29f019188b9bb8a
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size 28672
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embeddings
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version https://git-lfs.github.com/spec/v1
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oid sha256:85f580910c5592932bc95f4fda31b21053114271ff30d6e51430b91fe78ce31d
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size 18570
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