Hi,
The model card shows how to use the model entirely locally, see nomic-ai/nomic-embed-text-v1.5 · Hugging Face if you prefer Sentence Transformers and nomic-ai/nomic-embed-text-v1.5 · Hugging Face if you prefer to use the Transformers library.
Here’s how to use it entirely locally:
from transformers import AutoTokenizer, AutoModel
# load the model and tokenizer from the hub
tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
model = AutoModel.from_pretrained("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True)
# save the the tokenizer files as well as the model weights locally
tokenizer.save_pretrained("path_to_your_local_folder")
model.save_pretrained("path_to_your_local_folder")
# load from local storage
tokenizer = AutoTokenizer.from_pretrained("path_to_your_local_folder")
model = AutoModel.from_pretrained("path_to_your_local_folder")
# proceed with embedding text as shown in the model card