Instructions to use rolf-mozilla/tinybert-address-autofill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use rolf-mozilla/tinybert-address-autofill with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'rolf-mozilla/tinybert-address-autofill');
tinybert-address-autofill (v0.2.2)
Firefox address-autofill field classifier, retrained from the jt4qd v2 baseline
without the ** input-type marker (strip_type_marker=True) so training
matches Firefox inference. jt4qd params (bb, encoder_layers=0, pooling=cls,
lr=3e-5, batch=64, epochs=25). Training data: current/refreshed
train/val/test. Offline (no-**): total 0.8897 / close 0.9133.
Only onnx/model_quantized.onnx (q8) is shipped.
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Model tree for rolf-mozilla/tinybert-address-autofill
Base model
huawei-noah/TinyBERT_General_4L_312D