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bert-hash-nano-embeddings-litert
NeuML/bert-hash-nano-embeddings-litert
bert-hash-nano-embeddings-litert is a sentence similarity model from NeuML. Use it when you need a score for how close two texts are. It is set up for litert. The card lists the license as apache-2.0.
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Repo size
8.5 MB
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Repo makeup
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.tflite8.5 MB · 92%
At a glance
- Task
- Sentence Similarity
- Library
- litert
- License
- apache-2.0
- Access
- Public
- Created
- May 19, 2026
- Updated
- May 19, 2026
- SHA
- ae764655
Base models
Model card
From the Hugging Face model README
Model Card for bert-hash-nano-embeddings LiteRT
bert-hash-nano-embeddings LiteRT model.
This can be run in txtai using the following code.
import txtai
embeddings = txtai.Embeddings(
path="neuml/bert-hash-nano-embeddings-litert/bert-hash-nano-embeddings-fp16.tflite",
content=True,
)
embeddings.index(documents())
# Run a query
embeddings.search("query to run")
See this link to see the code used to create this model.
- Task
- Sentence Similarity
- Library
- litert
- License
- apache-2.0
- Created
- May 19, 2026
- Updated
- May 19, 2026