YAML Metadata
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🚀 My Graph Query Model (LLM for Cypher Queries)
This model generates Cypher queries for Neo4j based on text-based instructions.
📚 Datasets
- The model was trained on a custom dataset containing structured graph data and Cypher queries.
⚙️ Model Details
- Base Model:
Meta-Llama-3-8B - Fine-Tuned On: Custom dataset of graph queries
- Tokenization: SentencePiece
- Training Framework:
transformerswithUnsLoToptimization
🏆 Evaluation Metrics
- BLEU Score:
0.80 - Exact Match Score:
66.57%
📥 How to Use the Model
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("thilaksai04/text2cypher-llama3.1-8b")
tokenizer = AutoTokenizer.from_pretrained("thilaksai04/text2cypher-llama3.1-8b")
input_text = "Find all guidelines related to diabetes treatment"
inputs = tokenizer(input_text, return_tensors="pt")
output = model.generate(**inputs)
print(tokenizer.decode(output[0], skip_special_tokens=True))
Model tree for thilaksai04/text2cypher-llama3.1-8b
Base model
meta-llama/Meta-Llama-3-8B