Instructions to use wangjin2000/git-base-finetune-Aug112023_05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wangjin2000/git-base-finetune-Aug112023_05 with Transformers:

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

pipe = pipeline("image-text-to-text", model="wangjin2000/git-base-finetune-Aug112023_05")

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

processor = AutoProcessor.from_pretrained("wangjin2000/git-base-finetune-Aug112023_05")
model = AutoModelForMultimodalLM.from_pretrained("wangjin2000/git-base-finetune-Aug112023_05", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use wangjin2000/git-base-finetune-Aug112023_05 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wangjin2000/git-base-finetune-Aug112023_05"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wangjin2000/git-base-finetune-Aug112023_05",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/wangjin2000/git-base-finetune-Aug112023_05

SGLang

How to use wangjin2000/git-base-finetune-Aug112023_05 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 "wangjin2000/git-base-finetune-Aug112023_05" \
    --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": "wangjin2000/git-base-finetune-Aug112023_05",
		"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 "wangjin2000/git-base-finetune-Aug112023_05" \
        --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": "wangjin2000/git-base-finetune-Aug112023_05",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use wangjin2000/git-base-finetune-Aug112023_05 with Docker Model Runner:
```
docker model run hf.co/wangjin2000/git-base-finetune-Aug112023_05
```

wangjin2000 commited on Aug 11, 2023

Commit

00a738a

1 Parent(s): 6fb3da5

Training in progress, epoch 18

Browse files

Files changed (1) hide show

pytorch_model.bin +1 -1

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:052dad9beb586a4f61a9bf01a63d13cfa74983959038aeb0e55a38a80c19680e
 size 706584273

 version https://git-lfs.github.com/spec/v1
+oid sha256:52690e4ae9e5731f6d757dbc895d6ead4f6a51e0621544b348a0f13347955c74
 size 706584273