Introduction of code_trans_t5_base_program_synthese
Model Details of code_trans_t5_base_program_synthese
CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 base model architecture. It was first released in
this repository
.
Model description
This CodeTrans model is based on the
t5-base
model. It has its own SentencePiece vocabulary model. It used single-task training on Program Synthesis dataset.
Intended uses & limitations
The model could be used to generate lisp inspired DSL code based on the human language description tasks.
How to use
Here is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:
from transformers import AutoTokenizer, AutoModelWithLMHead, SummarizationPipeline
pipeline = SummarizationPipeline(
model=AutoModelWithLMHead.from_pretrained("SEBIS/code_trans_t5_base_program_synthese"),
tokenizer=AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_program_synthese", skip_special_tokens=True),
device=0
)
tokenized_code = "you are given an array of numbers a and a number b , compute the difference of elements in a and b"
pipeline([tokenized_code])
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