Model reference · open weights
bert-hash-nano-embeddings-litert is an open-weight embedding model from NeuML.
Summary of the NeuML/bert-hash-nano-embeddings-litert model card, 2026-10-01
What it is
| Released by | NeuML |
|---|---|
| Released | 2026-05-19 |
From the model card
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.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works