Instructions to use NeuML/biomedbert-hash-nano-embeddings-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use NeuML/biomedbert-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
Download biomedbert-hash-nano-embeddings-fp32.tflite from NeuML/biomedbert-hash-nano-embeddings-litert: direct link, hf CLI and curl.
- Browser
- Download file 3.94 MB
-
https://huggingface.co/NeuML/biomedbert-hash-nano-embeddings-litert/resolve/main/biomedbert-hash-nano-embeddings-fp32.tflite
- Command line
-
hf download hf://NeuML/biomedbert-hash-nano-embeddings-litert/biomedbert-hash-nano-embeddings-fp32.tflite
-
curl -L -o biomedbert-hash-nano-embeddings-fp32.tflite https://huggingface.co/NeuML/biomedbert-hash-nano-embeddings-litert/resolve/main/biomedbert-hash-nano-embeddings-fp32.tflite
3.94 MB
- Xet hash:
- 74c5ca638748d6f3fd0cbc6efe0a0ba0f857c3f169491816f1b6cfac51ad65a0
- Size of remote file:
- 3.94 MB
- SHA256:
- cdb316a3ef197863fd286211ff31207e077e421d671dc64b1c35f6315471fba8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.