This video installs Triplex which is a finetuned version of Phi3-3.8B for creating knowledge graphs from unstructured data developed by SciPhi.AI. It works by extracting triplets.
Code:
conda create -n triplex python=3.11 -y && conda activate triplex
pip install torch transformers accelerate
import json
from transformers import AutoModelForCausalLM, AutoTokenizer
def triplextract(model, tokenizer, text, entity_types, predicates):
input_format = """
**Entity Types:**
{entity_types}
**Predicates:**
{predicates}
**Text:**
{text}
"""
message = input_format.format(
entity_types = json.dumps({"entity_types": entity_types}),
predicates = json.dumps({"predicates": predicates}),
text = text)
messages = [{'role': 'user', 'content': message}]
input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt = True, return_tensors="pt").to("cuda")
output = tokenizer.decode(model.generate(input_ids=input_ids, max_length=2048)[0], skip_special_tokens=True)
return output
model = AutoModelForCausalLM.from_pretrained("sciphi/triplex", trust_remote_code=True).to('cuda').eval()
tokenizer = AutoTokenizer.from_pretrained("sciphi/triplex", trust_remote_code=True)
entity_types = [ "LOCATION", "POSITION", "DATE", "CITY", "COUNTRY", "NUMBER" ]
predicates = [ "POPULATION", "AREA" ]
text = """
San Francisco,[24] officially the City and County of San Francisco, is a commercial, financial, and cultural center in Northern California.
With a population of 808,437 residents as of 2022, San Francisco is the fourth most populous city in the U.S. state of California behind Los Angeles, San Diego, and San Jose.
"""
prediction = triplextract(model, tokenizer, text, entity_types, predicates)
print(prediction)
entity_types = ["CASE", "LAWYER", "DATE"]
predicates = ["VERDICT", "CHARGES"]
text = """
In the landmark case of Roe v. Wade (1973), lawyer Sarah Weddington successfully argued before the US Supreme Court, leading to a verdict that protected women's reproductive rights.
"""
prediction = triplextract(model, tokenizer, text, entity_types, predicates)
print(prediction)
No comments:
Post a Comment