metadata
license: bsd
datasets:
- ManthanKulakarni/Text2JQL
language:
- en
pipeline_tag: text2text-generation
tags:
- Jira
- JQL
- JQL Builder
- text2jql
- Flan-T5
Model in Action 🚀
from transformers import AutoModelWithLMHead, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("ManthanKulakarni/Text2JQLBuilder")
model = AutoModelWithLMHead.from_pretrained("ManthanKulakarni/Text2JQLBuilder")
def gen_sentence(words, max_length=64):
input_text = words
features = tokenizer([input_text], return_tensors='pt')
output = model.generate(input_ids=features['input_ids'],
attention_mask=features['attention_mask'],
max_length=max_length)
return tokenizer.decode(output[0], skip_special_tokens=True)
words = "JQL: all story under project ACM"
gen_sentence(words)
# output: 'JQL: project = ACM'