Model: omzn/facemark_detection
Author: omzn
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, safetensors, bert, text-classification, generated_from_trainer, ja, base_model:tohoku-nlp/bert-base-japanese-whole-word-masking, base_model:finetune:tohoku-nlp/bert-base-japanese-whole-word-masking, license:cc-by-sa-4.0, endpoints_compatible, region:us
Base models (finetune): id: tohoku-nlp/bert-base-japanese-whole-word-masking
Card metadata: language: ja
license: cc-by-sa-4.0
tags: generated_from_trainer, text-classification
metrics: accuracy
widget: text: 💪(^ω^ 🍤)
example_title: Facemark 1, text: (੭ु∂∀6)੭ु⁾⁾ ஐ•*¨*•.¸¸
example_title: Facemark 2, text: :-P
example_title: Facemark 3, text: (o.o)
example_title: Facemark 4, text: （10/7~）
example_title: Non-facemark 1, text: ？？＜＜「ﾆｬｱ(しゃーねぇな)」ﾌﾟｲｯ
example_title: Non-facemark 2, text: (0.01)
example_title: Non-facemark 3
base_model: cl-tohoku/bert-base-japanese-whole-word-masking
Likes: 0 | All-time downloads: 499
Created: 2023-01-09 03:30:58