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');
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Download README.md from rolf-mozilla/tinybert-address-autofill: direct link, hf CLI and curl.
- Browser
- Download file 599 Bytes
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https://huggingface.co/rolf-mozilla/tinybert-address-autofill/resolve/main/README.md
- Command line
-
hf download hf://rolf-mozilla/tinybert-address-autofill/README.md
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curl -L -o README.md https://huggingface.co/rolf-mozilla/tinybert-address-autofill/resolve/main/README.md
599 Bytes
metadata
license: mpl-2.0
base_model: huawei-noah/TinyBERT_General_4L_312D
tags:
- autofill
- form-field-classification
- onnx
- transformers.js
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.