Instructions to use cj94/git-base-naruto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cj94/git-base-naruto with Transformers:

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

pipe = pipeline("image-text-to-text", model="cj94/git-base-naruto")

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

processor = AutoProcessor.from_pretrained("cj94/git-base-naruto")
model = AutoModelForMultimodalLM.from_pretrained("cj94/git-base-naruto", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cj94/git-base-naruto with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cj94/git-base-naruto"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cj94/git-base-naruto",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/cj94/git-base-naruto

SGLang

How to use cj94/git-base-naruto 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 "cj94/git-base-naruto" \
    --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": "cj94/git-base-naruto",
		"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 "cj94/git-base-naruto" \
        --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": "cj94/git-base-naruto",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use cj94/git-base-naruto with Docker Model Runner:
```
docker model run hf.co/cj94/git-base-naruto
```

cj94 commited on May 30, 2024

Commit

d8afe4d

verified ·

1 Parent(s): 0472698

Training in progress, step 600

Browse files

Files changed (2) hide show

model.safetensors +1 -1
runs/May30_15-45-19_D830MT/events.out.tfevents.1717055125.D830MT.61.0 +2 -2

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68679e92a887a940aa587feb30c766e1f737de52d99c8157563859bf30ec0c0d
 size 706516040

 version https://git-lfs.github.com/spec/v1
+oid sha256:5888d2e5f9ee10b12011e3789fadc835cfa16837c70422ba949df63c7682c7ef
 size 706516040

runs/May30_15-45-19_D830MT/events.out.tfevents.1717055125.D830MT.61.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f4a96ed7bd01e0b344d558771c2b771342cce7f375c8c64c02062ee81789c29
-size 10749

 version https://git-lfs.github.com/spec/v1
+oid sha256:d971fb8961bea3962d3982236c1e722d6049059835add9c3880722b6d2488bc9
+size 11284