Instructions to use YingxuHe/git-base-test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use YingxuHe/git-base-test3 with Transformers:

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

pipe = pipeline("image-text-to-text", model="YingxuHe/git-base-test3")

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

processor = AutoProcessor.from_pretrained("YingxuHe/git-base-test3")
model = AutoModelForMultimodalLM.from_pretrained("YingxuHe/git-base-test3", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use YingxuHe/git-base-test3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "YingxuHe/git-base-test3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "YingxuHe/git-base-test3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/YingxuHe/git-base-test3

SGLang

How to use YingxuHe/git-base-test3 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 "YingxuHe/git-base-test3" \
    --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": "YingxuHe/git-base-test3",
		"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 "YingxuHe/git-base-test3" \
        --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": "YingxuHe/git-base-test3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use YingxuHe/git-base-test3 with Docker Model Runner:
```
docker model run hf.co/YingxuHe/git-base-test3
```

YingxuHe commited on Oct 22, 2023

Commit

6914d58

1 Parent(s): e460e76

Training in progress, step 32000

Browse files

Files changed (2) hide show

pytorch_model.bin +1 -1
runs/Oct22_12-21-53_fd952a682328/events.out.tfevents.1697977318.fd952a682328.7813.0 +2 -2

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0e7b061beb7e982548a5620a540cb32f393d46cc114f0502460ddf0c467b7fb6
 size 706595158

 version https://git-lfs.github.com/spec/v1
+oid sha256:e58bef1f8a2c369027199ec3b63a77a78bd68afd855195bfe1d19da52d294a26
 size 706595158

runs/Oct22_12-21-53_fd952a682328/events.out.tfevents.1697977318.fd952a682328.7813.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eb6f0e6ac07a52ae01fdb021ac76eff8e651443753d0212b75b937c0fe40fd10
-size 196166

 version https://git-lfs.github.com/spec/v1
+oid sha256:bf7c76fe07f93249a7c32369344bd14d05e4910bd4701c3cc93c3b1be8a02b6a
+size 196767