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

Libraries

How to use holipori/saved_model_git-base with Transformers:

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

pipe = pipeline("image-text-to-text", model="holipori/saved_model_git-base")

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

processor = AutoProcessor.from_pretrained("holipori/saved_model_git-base")
model = AutoModelForMultimodalLM.from_pretrained("holipori/saved_model_git-base", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use holipori/saved_model_git-base with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/holipori/saved_model_git-base

SGLang

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

Docker Model Runner
How to use holipori/saved_model_git-base with Docker Model Runner:
```
docker model run hf.co/holipori/saved_model_git-base
```

Xinyue Hu commited on May 22, 2023

Commit

2d052dc

1 Parent(s): 0bfe895

Training in progress, step 2000

Browse files

Files changed (2) hide show

pytorch_model.bin +1 -1
runs/May22_16-19-55_yingying-G292-Z24-00/events.out.tfevents.1684790399.yingying-G292-Z24-00 +2 -2

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3b15d45927ae46136986f505858c357455050f0c45d5d8c4aa2e12cbe70371fb
 size 706594713

 version https://git-lfs.github.com/spec/v1
+oid sha256:bb37cd25898b1fdd22d9ab6aa400b53eeb9e0ffc090f74db0be9532cfb8383ab
 size 706594713

runs/May22_16-19-55_yingying-G292-Z24-00/events.out.tfevents.1684790399.yingying-G292-Z24-00 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aaa3158d56d9ed5a7353a1387c46b3cdfb09a709fb4aba80b2185817a81e26b6
-size 7052

 version https://git-lfs.github.com/spec/v1
+oid sha256:351cfa41870bff0e8be19470bf3172a81b1ca9287f70ec1a16fd1e61c60d362a
+size 7834