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Check out the documentation for more information.

local-llm-lab

This model is a custom fine-tuned LLaMA-7B model for knowledge graph summarization.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("ncterry1/local-llm-lab")
model = AutoModelForCausalLM.from_pretrained("ncterry1/local-llm-lab")
prompt = "Explain a knowledge graph in one sentence."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(inputs.input_ids, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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