Instructions to use NeuML/bert-hash-nano-embeddings-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use NeuML/bert-hash-nano-embeddings-litert with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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.
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