From d126f00ebf2708d3d3394295e98e9bff85d97e41 Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Tue, 7 Feb 2023 15:57:42 +0800 Subject: [PATCH] Update Signed-off-by: Jael Gu --- README.md | 24 ++++++++---------------- result.png | Bin 13026 -> 14821 bytes 2 files changed, 8 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 1b6cdd7..1b4d155 100644 --- a/README.md +++ b/README.md @@ -19,27 +19,19 @@ Use the pre-trained model "huggingface/CodeBERTa-small-v1" to generate text embeddings for given text description "return max value" and code "def max(a,b): if a>b: return a else return b". -*Write the pipeline*: +*Write a pipeline with explicit inputs/outputs name specifications:* ```python -import towhee +from towhee.dc2 import pipe, ops, DataCollection -( - towhee.dc(['find max value', 'def max(a,b): if a>b: return a else return b']) - .code_search.codebert(model_name='huggingface/CodeBERTa-small-v1') +p = ( + pipe.input('text') + .map('text', 'embedding', ops.code_search.codebert(model_name='huggingface/CodeBERTa-small-v1')) + .output('text', 'embedding') ) -``` - -*Write a same pipeline with explicit inputs/outputs name specifications:* -```python -import towhee - -( - towhee.dc['text'](['return max value', 'def max(a,b): if a>b: return a else return b']) - .code_search.codebert['text', 'embedding']() - .show() -) +DataCollection(p('find max value')).show() +DataCollection(p('def max(a,b): if a>b: return a else return b')).show() ``` diff --git a/result.png b/result.png index ea62d440ea220a081704c582fd9093a601f14ec8..022925fd16a02e0c5e6f44c6cb0840c2ffa98462 100644 GIT binary patch literal 14821 zcmaibWn7z0({FHhD-JCZ+}%SdBv1$rEn2Klin|r3I1MRKiiIKt3Pp=s@n9`b+}+*v zr1$;2@AErf&dHbA+1+ceo!$S;TsyOghH9!3;nU#*001Je+EX0>022xTpaF4F6@VA{ zFLnR`sc+z?N_swMyJM_m001tg;Pr)yG6v>_8$ktKFew7i2L*(q<6@EG2SWh}00=D{ zorO{nh+_V&Wq}8w={=?-je#lxL1+k6$Nw#bhyG7p_+!)~|Foh?s1D)iAToSh6(9>G zYQ+C31w)-sqd%rhX>NS)_IU57WY9(7j~XO*>=Ccq(CcohiKDp2#>PT=Z|{q^#r-mb 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