Is there a way to use our custom Model instead of models from Hugging Face?

[saiki-7]

@unnir can you help me out with this??
Thank you

[unnir]

what is the name of your model? I can test it

[saiki-7]

what is the name of your model? I can test it

Thank you for the reply. I am planning to use this model

https://github.com/mattgorb/sparse-binary-transformers/tree/main?tab=readme-ov-file

[unnir]

it this model is available on huggingface, most likely it will work with GReaT.

For example:

from be_great import GReaT
from sklearn.datasets import fetch_california_housing

data = fetch_california_housing(as_frame=True).frame

model = GReaT(llm='unsloth/Llama-3.2-1B', batch_size=32,  epochs=1, fp16=True, report_to="none")
model.fit(data)
synthetic_data = model.sample(n_samples=100)