Instructions to use latentdivergence/mole-minilm-l6-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use latentdivergence/mole-minilm-l6-fp16 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'latentdivergence/mole-minilm-l6-fp16');
burrow-minilm-l6-fp16
A fp16 ONNX build of onnx-community/all-MiniLM-L6-v2-ONNX, mirrored
as the pinned download source for the Burrow browser extension.
The weights are byte-identical to the upstream export by onnx-community; nothing was re-quantised or fine-tuned here. This repo exists so the extension depends on a copy that cannot be renamed or deleted out from under its installed users.
Only the files the browser runtime loads are included -- the fp16 graph plus
tokenizer and config. For every other precision, use the upstream repo.
Use
import { pipeline } from "@huggingface/transformers";
const pipe = await pipeline("text-generation", "latentdivergence/burrow-minilm-l6-fp16", {
dtype: "fp16",
device: "webgpu",
});
Licensed as per the base model.
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Model tree for latentdivergence/mole-minilm-l6-fp16
Base model
nreimers/MiniLM-L6-H384-uncased Quantized
sentence-transformers/all-MiniLM-L6-v2 Quantized
onnx-community/all-MiniLM-L6-v2-ONNX