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# What does this model do?
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This model converts the natural language input to MongoDB (MQL) query. It is a fine-tuned CodeT5+ 220M. This model is a part of nl2query repository which is present at https://github.com/Chirayu-Tripathi/nl2query
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You can use this model via the github repository or via following code.
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("Chirayu/nl2mongo")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = model.to(device)
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def generate_query(
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textual_query: str,
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num_beams: int = 10,
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# What does this model do?
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This model converts the natural language input to MongoDB (MQL) query. It is a fine-tuned CodeT5+ 220M. This model is a part of nl2query repository which is present at https://github.com/Chirayu-Tripathi/nl2query
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You can use this model via the github repository or via following code. More information can be found on the repository.
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("Chirayu/nl2mongo")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = model.to(device)
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textual_query = '''mongo: which cabinet has average age less than 21? | titanic : _id, passengerid, survived, pclass, name, sex, age, sibsp, parch, ticket, fare, cabin, embarked'''
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def generate_query(
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textual_query: str,
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num_beams: int = 10,
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