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--- |
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license: bsd |
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datasets: |
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- ManthanKulakarni/Text2JQL_v2 |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text2text-generation |
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tags: |
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- Jira |
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- Atlasian |
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- T5 |
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- Flan-T5 |
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- JQL |
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- Query |
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--- |
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## Model in Action 🚀 |
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```python |
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from transformers import AutoModelWithLMHead, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("ManthanKulakarni/Text2JQLBuilder_v2") |
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model = AutoModelWithLMHead.from_pretrained("ManthanKulakarni/Text2JQLBuilder_v2") |
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def gen_sentence(words, max_length=32): |
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input_text = words |
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features = tokenizer([input_text], return_tensors='pt') |
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output = model.generate(input_ids=features['input_ids'], |
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attention_mask=features['attention_mask'], |
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max_length=max_length) |
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return tokenizer.decode(output[0], skip_special_tokens=True) |
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words = "JQL: all story under project ACM" |
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gen_sentence(words) |
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# output: 'JQL: project = ACM' |
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``` |
