Instructions to use RidzIn/Pokemon-Describer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RidzIn/Pokemon-Describer with Transformers:

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

pipe = pipeline("image-text-to-text", model="RidzIn/Pokemon-Describer")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("RidzIn/Pokemon-Describer")
model = AutoModelForMultimodalLM.from_pretrained("RidzIn/Pokemon-Describer", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use RidzIn/Pokemon-Describer with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/RidzIn/Pokemon-Describer

SGLang

How to use RidzIn/Pokemon-Describer 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 "RidzIn/Pokemon-Describer" \
    --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": "RidzIn/Pokemon-Describer",
		"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 "RidzIn/Pokemon-Describer" \
        --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": "RidzIn/Pokemon-Describer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use RidzIn/Pokemon-Describer with Docker Model Runner:
```
docker model run hf.co/RidzIn/Pokemon-Describer
```

RidzIn commited on Jan 16, 2025

Commit

5ba2c7a

verified ·

1 Parent(s): 5e6f04f

Upload BlipForConditionalGeneration

Browse files

Files changed (2) hide show

config.json +1 -1
model.safetensors +1 -1

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "model/checkpoint-60",
   "architectures": [
     "BlipForConditionalGeneration"
   ],

 {
+  "_name_or_path": "model\\checkpoint-540",
   "architectures": [
     "BlipForConditionalGeneration"
   ],

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:571859c4e891e70de40f8ce072e5d168a85e66f40b3f268422cc3db49aab71e5
 size 1879010480

 version https://git-lfs.github.com/spec/v1
+oid sha256:04c3afad2e9b6217d46e24a90c9169a4f82e9d7c79313549f97c601efbe95227
 size 1879010480