Instructions to use remyxai/PoseFlorence-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use remyxai/PoseFlorence-2 with Transformers:

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

pipe = pipeline("image-text-to-text", model="remyxai/PoseFlorence-2", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("remyxai/PoseFlorence-2", trust_remote_code=True)
model = AutoModelForMultimodalLM.from_pretrained("remyxai/PoseFlorence-2", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use remyxai/PoseFlorence-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "remyxai/PoseFlorence-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "remyxai/PoseFlorence-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/remyxai/PoseFlorence-2

SGLang

How to use remyxai/PoseFlorence-2 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 "remyxai/PoseFlorence-2" \
    --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": "remyxai/PoseFlorence-2",
		"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 "remyxai/PoseFlorence-2" \
        --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": "remyxai/PoseFlorence-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use remyxai/PoseFlorence-2 with Docker Model Runner:
```
docker model run hf.co/remyxai/PoseFlorence-2
```

salma-remyx commited on Sep 29, 2024

Commit

6d594da

verified ·

1 Parent(s): a6ca351

Upload Florence2ForConditionalGeneration

Browse files

Files changed (2) hide show

README.md +4 -4
model.safetensors +1 -1

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@@ -1,4 +1,8 @@
 ---
 library_name: transformers
 tags:
 - remyx
@@ -6,10 +10,6 @@ tags:
 - TextGeneration
 - MultiModal
 - VLM
-datasets:
-- salma-remyx/PoseText
-base_model:
-- microsoft/Florence-2-base-ft
 ---
 # Model Card for PoseFlorence-2

 ---
+base_model:
+- microsoft/Florence-2-base-ft
+datasets:
+- salma-remyx/PoseText
 library_name: transformers
 tags:
 - remyx
 - TextGeneration
 - MultiModal
 - VLM
 ---
 # Model Card for PoseFlorence-2

model.safetensors CHANGED Viewed

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