Instructions to use liuliu96/git-base-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use liuliu96/git-base-pokemon with Transformers:

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

pipe = pipeline("image-text-to-text", model="liuliu96/git-base-pokemon")

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

processor = AutoProcessor.from_pretrained("liuliu96/git-base-pokemon")
model = AutoModelForMultimodalLM.from_pretrained("liuliu96/git-base-pokemon", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use liuliu96/git-base-pokemon with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "liuliu96/git-base-pokemon"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "liuliu96/git-base-pokemon",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/liuliu96/git-base-pokemon

SGLang

How to use liuliu96/git-base-pokemon 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 "liuliu96/git-base-pokemon" \
    --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": "liuliu96/git-base-pokemon",
		"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 "liuliu96/git-base-pokemon" \
        --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": "liuliu96/git-base-pokemon",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use liuliu96/git-base-pokemon with Docker Model Runner:
```
docker model run hf.co/liuliu96/git-base-pokemon
```

liuliu96 commited on May 5, 2023

Commit

c2575b8

1 Parent(s): 39129d7

Training in progress, step 400

Browse files

Files changed (2) hide show

pytorch_model.bin +1 -1
runs/May05_09-29-14_2de5a548c7e1/events.out.tfevents.1683278966.2de5a548c7e1.350.0 +2 -2

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:23f22047e8c096246a1deafcd3984869c1a0d3e504d10299de6e0855d5801298
 size 706594713

 version https://git-lfs.github.com/spec/v1
+oid sha256:f94f377e7466aefb44a4ab98156ac263d32b634bc3711d866abc1a829b9c2ea3
 size 706594713

runs/May05_09-29-14_2de5a548c7e1/events.out.tfevents.1683278966.2de5a548c7e1.350.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c0a097e0f29782b118bfec4cc39efa9e745dce7ac2335e3b8ad97dff505ea042
-size 9605

 version https://git-lfs.github.com/spec/v1
+oid sha256:c6a9baba24a2fb73a34d204a9bf6ae18bf4abb3f54a6686362215098596d16d1
+size 10086