fka/prompts.chat
Viewer • Updated • 1.82k • 54.9k • 9.69k
How to use Miykaelxxm/bbbbdddd with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-text-to-text", model="Miykaelxxm/bbbbdddd")
messages = [
{
"role": "user",
"content": [
{"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
{"type": "text", "text": "What animal is on the candy?"}
]
},
]
pipe(text=messages) # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Miykaelxxm/bbbbdddd", dtype="auto")How to use Miykaelxxm/bbbbdddd with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Miykaelxxm/bbbbdddd"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Miykaelxxm/bbbbdddd",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Describe this image in one sentence."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
]
}'docker model run hf.co/Miykaelxxm/bbbbdddd
How to use Miykaelxxm/bbbbdddd with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "Miykaelxxm/bbbbdddd" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Miykaelxxm/bbbbdddd",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Describe this image in one sentence."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
]
}'docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "Miykaelxxm/bbbbdddd" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Miykaelxxm/bbbbdddd",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Describe this image in one sentence."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
]
}'How to use Miykaelxxm/bbbbdddd with Docker Model Runner:
docker model run hf.co/Miykaelxxm/bbbbdddd
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
You agree to not use the model to conduct experiments that cause harm to human subjects.
Log in or Sign Up to review the conditions and access this model content.
dddd
Base model
Qwen/Qwen2.5-VL-3B-Instruct