Skip to content

Make embedding device configurable instead of forcing GPU #12

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
saksham-jain177 wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Make embedding device configurable instead of forcing GPU #12

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 8 additions & 2 deletions utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
from transformers import BitsAndBytesConfig
import torch, dotenv, os, gc
from huggingface_hub import login
import os

dotenv.load_dotenv()

Expand All @@ -20,8 +21,13 @@ def set_device(gpu: int = None) -> str:

# Sets embedding model using a hugging face embedding model for local embeddings.
def set_embedding_model():
embed_model = HuggingFaceEmbedding(model_name="/home/jake/Programming/Models/embedding/multilingual-e5-large-instruct",
device=set_device(0), trust_remote_code=True)
device = os.getenv("EMBEDDING_DEVICE", "cpu")

embed_model = HuggingFaceEmbedding(
model_name="intfloat/multilingual-e5-large-instruct",
device=device,
trust_remote_code=True
)
return embed_model

# Function that configures Ollama models and sets some of the initial parameters
Expand Down