metadata
base_model: google/flan-t5-small
library_name: transformers.js
license: mit
datasets:
- openai/mrcr
language:
- en
metrics:
- character
new_version: microsoft/bitnet-b1.58-2B-4T
pipeline_tag: question-answering
tags:
- code
https://huggingface.co/google/flan-t5-small with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 馃 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).