Instructions to use FahadIqbal5188/blip_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FahadIqbal5188/blip_model with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="FahadIqbal5188/blip_model")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("FahadIqbal5188/blip_model")
model = AutoModelForMultimodalLM.from_pretrained("FahadIqbal5188/blip_model", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FahadIqbal5188/blip_model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FahadIqbal5188/blip_model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FahadIqbal5188/blip_model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FahadIqbal5188/blip_model

SGLang

How to use FahadIqbal5188/blip_model with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "FahadIqbal5188/blip_model" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FahadIqbal5188/blip_model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

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 "FahadIqbal5188/blip_model" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FahadIqbal5188/blip_model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FahadIqbal5188/blip_model with Docker Model Runner:
```
docker model run hf.co/FahadIqbal5188/blip_model
```

FahadIqbal5188 commited on Nov 23, 2024

Commit

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@@ -5,7 +5,10 @@ tags: []
 # Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
@@ -15,7 +18,7 @@ tags: []
 <!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 - **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]

 # Model Card for Model ID
+Fine-Tuned Image_Captioning BLIP model on custom Floorplans dataset. This model can generate floorplan details(features), like number of rooms,
+kitches and porch etc, which can further be used to automate text-to-image dataset annotation to feed into  generative model
+for instance in this floorplan generation tasks.
 <!-- Provide a longer summary of what this model is. -->
 - **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]