Instructions to use Xenova/tiny-random-Florence2ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Xenova/tiny-random-Florence2ForConditionalGeneration with Transformers:

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

pipe = pipeline("image-text-to-text", model="Xenova/tiny-random-Florence2ForConditionalGeneration", trust_remote_code=True)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("Xenova/tiny-random-Florence2ForConditionalGeneration", trust_remote_code=True)
model = AutoModelForImageTextToText.from_pretrained("Xenova/tiny-random-Florence2ForConditionalGeneration", trust_remote_code=True)

Transformers.js

How to use Xenova/tiny-random-Florence2ForConditionalGeneration with Transformers.js:

// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';

// Allocate pipeline
const pipe = await pipeline('image-text-to-text', 'Xenova/tiny-random-Florence2ForConditionalGeneration');

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Xenova/tiny-random-Florence2ForConditionalGeneration with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Xenova/tiny-random-Florence2ForConditionalGeneration"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Xenova/tiny-random-Florence2ForConditionalGeneration",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Xenova/tiny-random-Florence2ForConditionalGeneration

SGLang

How to use Xenova/tiny-random-Florence2ForConditionalGeneration 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 "Xenova/tiny-random-Florence2ForConditionalGeneration" \
    --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": "Xenova/tiny-random-Florence2ForConditionalGeneration",
		"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 "Xenova/tiny-random-Florence2ForConditionalGeneration" \
        --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": "Xenova/tiny-random-Florence2ForConditionalGeneration",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Xenova/tiny-random-Florence2ForConditionalGeneration with Docker Model Runner:
```
docker model run hf.co/Xenova/tiny-random-Florence2ForConditionalGeneration
```

Xenova HF Staff commited on Jun 21, 2024

Commit

859c107

verified ·

1 Parent(s): aa4393c

Upload 3 files

Browse files

Files changed (3) hide show

onnx/decoder_model.onnx +2 -2
onnx/decoder_model_merged.onnx +2 -2
onnx/decoder_with_past_model.onnx +2 -2

onnx/decoder_model.onnx CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0cb75d493b246d4e89ced0cd0aeca30acb3f4c97084c3da04d5135514cd7fdbf
-size 7804440

 version https://git-lfs.github.com/spec/v1
+oid sha256:e276321144b82de9cf53ef933e801f31612037b8cbaac13d5f056dc172365535
+size 7804446

onnx/decoder_model_merged.onnx CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae2578ac2facca9b4987663df5c278dc417e531f088ab074d7a6c5398e713a25
-size 7874221

 version https://git-lfs.github.com/spec/v1
+oid sha256:7ccfaeabdf73d5edbfe8d6dd7c7aa53bae49f2f84584ca5faa5ed95513ce43da
+size 7874250

onnx/decoder_with_past_model.onnx CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6683e374d6e0f575d83ffb1b0a37b2a24785bafe4ed631c5715142a2928f4716
-size 7793897

 version https://git-lfs.github.com/spec/v1
+oid sha256:0f6cd004bc508cf587b645c7df78e6505e2a82b666d6a56ee12f59ba5c3b0958
+size 7793883