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

da662d8

1 Parent(s): cbbb8cb

Update tokenizer_config.json

Browse files

Files changed (1) hide show

tokenizer_config.json +10 -0

tokenizer_config.json CHANGED Viewed

@@ -31,3 +31,13 @@
     "single_word": false
   }
 }

     "single_word": false
   }
 }
+"eos_token": "</s>",
+  "extra_ids": 100,
+  "model_max_length": 512,
+  "name_or_path": "ElMater06/SpaceCore",
+  "pad_token": "<pad>",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"