Instructions to use cutycat2000/MeowGPT-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cutycat2000/MeowGPT-2 with Transformers:

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

pipe = pipeline("text-generation", model="cutycat2000/MeowGPT-2")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cutycat2000/MeowGPT-2")
model = AutoModelForCausalLM.from_pretrained("cutycat2000/MeowGPT-2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cutycat2000/MeowGPT-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cutycat2000/MeowGPT-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cutycat2000/MeowGPT-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cutycat2000/MeowGPT-2

SGLang

How to use cutycat2000/MeowGPT-2 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 "cutycat2000/MeowGPT-2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cutycat2000/MeowGPT-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "cutycat2000/MeowGPT-2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cutycat2000/MeowGPT-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cutycat2000/MeowGPT-2 with Docker Model Runner:
```
docker model run hf.co/cutycat2000/MeowGPT-2
```

cutycat2000 commited on Dec 22, 2023

Commit

2bbdd4d

1 Parent(s): 66e4565

Update README.md

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@@ -1,3 +1,10 @@
 # MeowGPT Readme
 ## Overview
@@ -32,4 +39,4 @@ If you use MeowGPT in your research or projects, please consider citing CutyCat2
 ## Disclaimer
 Please note that while MeowGPT is trained to assist in generating text based on given prompts, it may not always provide accurate or contextually appropriate responses. It's recommended to review and validate the generated content before usage in critical applications.
-For more information or support, refer to the `transformers` library documentation or CutyCat2000's resources.

+---
+license: mit
+language:
+- en
+library_name: transformers
+pipeline_tag: conversational
+---
 # MeowGPT Readme
 ## Overview
 ## Disclaimer
 Please note that while MeowGPT is trained to assist in generating text based on given prompts, it may not always provide accurate or contextually appropriate responses. It's recommended to review and validate the generated content before usage in critical applications.
+For more information or support, refer to the `transformers` library documentation or CutyCat2000's resources.