From 15a121fec52b995b71a53706f4c132c203d00384 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sava=C5=9F=20Y=C4=B1ld=C4=B1r=C4=B1m?= Date: Tue, 12 May 2020 22:01:34 +0300 Subject: [PATCH] Update README.md (#4315) --- .../savasy/bert-base-turkish-sentiment-cased/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/model_cards/savasy/bert-base-turkish-sentiment-cased/README.md b/model_cards/savasy/bert-base-turkish-sentiment-cased/README.md index d5387df2ea..bbb9f05410 100644 --- a/model_cards/savasy/bert-base-turkish-sentiment-cased/README.md +++ b/model_cards/savasy/bert-base-turkish-sentiment-cased/README.md @@ -121,8 +121,8 @@ Suppose your file has lots of lines of comment and label (1 or 0) at the end (t from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline f="/path/to/your/file/yourfile.tsv" -model = AutoModelForSequenceClassification.from_pretrained(folder) -tokenizer = AutoTokenizer.from_pretrained(folder) +model = AutoModelForSequenceClassification.from_pretrained("savasy/bert-base-turkish-sentiment-cased") +tokenizer = AutoTokenizer.from_pretrained("savasy/bert-base-turkish-sentiment-cased") sa= pipeline("sentiment-analysis", tokenizer=tokenizer, model=model) i,crr=0,0