Instructions to use LeroyDyer/SpydazWebAI_Image_Projectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LeroyDyer/SpydazWebAI_Image_Projectors with Transformers:

# Use a pipeline as a high-level helper
# Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline

pipe = pipeline("image-to-text", model="LeroyDyer/SpydazWebAI_Image_Projectors")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("LeroyDyer/SpydazWebAI_Image_Projectors", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use LeroyDyer/SpydazWebAI_Image_Projectors with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0
# Run inference directly in the terminal:
llama cli -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0
# Run inference directly in the terminal:
llama cli -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0

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 server with a web UI:
./build/bin/llama serve -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0
# Run inference directly in the terminal:
./build/bin/llama cli -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0

Use Docker

docker model run hf.co/LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0

Llama new
LM Studio
Jan
Ollama
How to use LeroyDyer/SpydazWebAI_Image_Projectors with Ollama:
```
ollama run hf.co/LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0
```
Unsloth Desktop
Docker Model Runner
How to use LeroyDyer/SpydazWebAI_Image_Projectors with Docker Model Runner:
```
docker model run hf.co/LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0
```

Lemonade

How to use LeroyDyer/SpydazWebAI_Image_Projectors with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0

Run and chat with the model

lemonade run user.SpydazWebAI_Image_Projectors-Q4_0

List all available models

lemonade list

Atomic Chat

LeroyDyer commited on Aug 26, 2024

Commit

e4e1ae4

verified ·

1 Parent(s): 6b3f464

Update README.md

Browse files

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -8,6 +8,6 @@ tags:
 - art
 ---
 <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/>
 https://github.com/spydaz

 - art
 ---
+These are the extra files to be added to your model space to enable for the modle to become a Image to text model hence ts that easy to becoem multimodel
 <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/65d883893a52cd9bcd8ab7cf/tRsCJlHNZo1D02kBTmfy9.jpeg" width="300"/>
 https://github.com/spydaz