Instructions to use ElMater06/SpaceCore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ElMater06/SpaceCore with Transformers:

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

pipe = pipeline("text-generation", model="ElMater06/SpaceCore")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ElMater06/SpaceCore")
model = AutoModelForCausalLM.from_pretrained("ElMater06/SpaceCore")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ElMater06/SpaceCore with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ElMater06/SpaceCore"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ElMater06/SpaceCore",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ElMater06/SpaceCore

SGLang

How to use ElMater06/SpaceCore 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 "ElMater06/SpaceCore" \
    --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": "ElMater06/SpaceCore",
		"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 "ElMater06/SpaceCore" \
        --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": "ElMater06/SpaceCore",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ElMater06/SpaceCore with Docker Model Runner:
```
docker model run hf.co/ElMater06/SpaceCore
```

ElMater06 commited on May 31, 2023

Commit

d7193c5

1 Parent(s): aec4796

Update README.md

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@@ -8,4 +8,42 @@ tags:
 - art
 language:
 - en
----

 - art
 language:
 - en
+---
+# Model Card for Model ID
+<!-- Provide a quick summary of what the model is/does. -->
+Its the Portal Space Core
+## Model Details
+### Model Description
+<!-- Provide a longer summary of what this model is. -->
+- **Developed by:** [ELMatero]
+- **Shared by [optional]:** [ELMatero]
+- **Model type:** [conversational]
+- **Language(s) (NLP):** [English]
+- **License:** [Other]
+- **Finetuned from model [optional]:** [DialoGPT-Small]
+### Model Sources [optional]
+<!-- Provide the basic links for the model. -->
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+## Uses
+The Model Card Kinda Breaks it, I haven't figured out a way to fix it, so if someone knows please send a pull request or a edit or something!
+### Direct Use
+Just use it like you would usually for DialoGPT-small.