Instructions to use Shawn286/git-base-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Shawn286/git-base-pokemon with Transformers:

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

pipe = pipeline("image-text-to-text", model="Shawn286/git-base-pokemon")

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

processor = AutoProcessor.from_pretrained("Shawn286/git-base-pokemon")
model = AutoModelForMultimodalLM.from_pretrained("Shawn286/git-base-pokemon", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Shawn286/git-base-pokemon with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Shawn286/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": "Shawn286/git-base-pokemon",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Shawn286/git-base-pokemon

SGLang

How to use Shawn286/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 "Shawn286/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": "Shawn286/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 "Shawn286/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": "Shawn286/git-base-pokemon",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Shawn286/git-base-pokemon with Docker Model Runner:
```
docker model run hf.co/Shawn286/git-base-pokemon
```

Shawn286 commited on Apr 3, 2023

Commit

382c0f1

1 Parent(s): 33f606a

Training in progress, step 350

Browse files

Files changed (2) hide show

pytorch_model.bin +1 -1
runs/Apr03_08-22-09_4f9fb8258b07/events.out.tfevents.1680510155.4f9fb8258b07.5670.0 +2 -2

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3cfcf6efd2c416b816c1a7544ddec9363a36d2ac84258297d58c86c5407dfeb5
 size 706594713

 version https://git-lfs.github.com/spec/v1
+oid sha256:87d115824ffeaa1495c8aaed64cfabf7474fe73b4022eece777f07d724910231
 size 706594713

runs/Apr03_08-22-09_4f9fb8258b07/events.out.tfevents.1680510155.4f9fb8258b07.5670.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ead3e8e768af56c03cd6f8e8421182640d4639b93f7495b6a0808f8da479a71c
-size 9095

 version https://git-lfs.github.com/spec/v1
+oid sha256:dc8fe2f0e5db0723fc0acaaede3229b727fec5197e6ffb52c7b8e3d0c6107562
+size 9576