Using custom fine-tuned weights with embed.text

[dipamgoswami]

Hi,

I see that the nomic embedding model can be selected based on the model_name as follows:

from nomic import embed

output = embed.text(
    texts=['Nomic Embedding API', '#keepAIOpen'],
    model='nomic-embed-text-v1',
    task_type='search_document',
)

print(output)

This is using the 'nomic-embed-text-v1' weights. I want to use my custom fine-tuned weights trained using the contrastive fine-tuning method from this repository.

Is there a simple way to do that by specifying the path to the weights file?