Downloads · 30 days
0
graph-entity-resolution-financial-crime
mtjikuzu/graph-entity-resolution-financial-crime
graph-entity-resolution-financial-crime is a machine learning model from mtjikuzu. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Access
Public
Updated May 12, 2026
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.png179 KB · 74%
At a glance
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 12, 2026
- SHA
- 16f0105c
Model card
From the Hugging Face model README
mtjikuzu/graph-entity-resolution-financial-crime
<!-- ml-intern-provenance -->Generated by ML Intern
This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
- Try ML Intern: https://smolagents-ml-intern.hf.space
- Source code: https://github.com/huggingface/ml-intern
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "mtjikuzu/graph-entity-resolution-financial-crime"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
For non-causal architectures, replace AutoModelForCausalLM with the appropriate AutoModel class.
- Created
- May 12, 2026
- Updated
- May 12, 2026