- Libraries
- sentence-transformers
How to use GainEnergy/OGAI-Embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("GainEnergy/OGAI-Embedder")
sentences = [
"That is a happy person",
"That is a happy dog",
"That is a very happy person",
"Today is a sunny day"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] - Transformers
How to use GainEnergy/OGAI-Embedder with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("GainEnergy/OGAI-Embedder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use GainEnergy/OGAI-Embedder with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible embeddings server:
llama serve -hf GainEnergy/OGAI-Embedder:Q5_0 --embeddings
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf GainEnergy/OGAI-Embedder:Q5_0 --embeddings
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible embeddings server:
./build/bin/llama serve -hf GainEnergy/OGAI-Embedder:Q5_0 --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use GainEnergy/OGAI-Embedder with Ollama:
ollama run hf.co/GainEnergy/OGAI-Embedder:Q5_0
- Unsloth Desktop
- Docker Model Runner
How to use GainEnergy/OGAI-Embedder with Docker Model Runner:
docker model run hf.co/GainEnergy/OGAI-Embedder:Q5_0
- Lemonade
How to use GainEnergy/OGAI-Embedder with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull GainEnergy/OGAI-Embedder:Q5_0
Run and chat with the model
lemonade run user.OGAI-Embedder-Q5_0
List all available models
lemonade list
- Atomic Chat
