Libraries Transformers 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") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("LeroyDyer/SpydazWebAI_Image_Projectors", dtype="auto") llama-cpp-python How to use LeroyDyer/SpydazWebAI_Image_Projectors with llama-cpp-python:
# !pip install llama-cpp-python
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="LeroyDyer/SpydazWebAI_Image_Projectors",
filename="Mixtral_LLAVA_7b.gguf",
)
output = llm(
"Once upon a time,",
max_tokens=512,
echo=True
)
print(output) Notebooks Google Colab Kaggle Local Apps llama.cpp How to use LeroyDyer/SpydazWebAI_Image_Projectors with llama.cpp:
Install from brew brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -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-server -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0
# Run inference directly in the terminal:
llama-cli -hf LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0 Use pre-built binary # Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -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/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -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 LM Studio Jan Ollama How to use LeroyDyer/SpydazWebAI_Image_Projectors with Ollama:
ollama run hf.co/LeroyDyer/SpydazWebAI_Image_Projectors:Q4_0 Unsloth Studio new How to use LeroyDyer/SpydazWebAI_Image_Projectors with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL) curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LeroyDyer/SpydazWebAI_Image_Projectors to start chatting Install Unsloth Studio (Windows) irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LeroyDyer/SpydazWebAI_Image_Projectors to start chatting Using HuggingFace Spaces for Unsloth # No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for LeroyDyer/SpydazWebAI_Image_Projectors to start chatting 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 
https://github.com/spydaz
# 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")