Instructions to use NeuraCraft/Lance-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NeuraCraft/Lance-AI with Transformers:

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

pipe = pipeline("text-generation", model="NeuraCraft/Lance-AI", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("NeuraCraft/Lance-AI", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NeuraCraft/Lance-AI with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/NeuraCraft/Lance-AI

SGLang

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

Docker Model Runner
How to use NeuraCraft/Lance-AI with Docker Model Runner:
```
docker model run hf.co/NeuraCraft/Lance-AI
```

NeuraCraft commited on Feb 4, 2025

Commit

be6deec

1 Parent(s): 93bbd02

Upload LanceAI

Browse files

Files changed (2) hide show

config.json +12 -12
generation_config.json +4 -4

config.json CHANGED Viewed

@@ -1,12 +1,12 @@
-{
-  "architectures": [
-    "LanceAI"
-  ],
-  "hidden_size": 128,
-  "model_type": "lance-ai",
-  "num_heads": 4,
-  "num_layers": 4,
-  "torch_dtype": "float32",
-  "transformers_version": "4.48.1",
-  "vocab_size": 50257
-}

+{
+  "architectures": [
+    "LanceAI"
+  ],
+  "hidden_size": 128,
+  "model_type": "lance-ai",
+  "num_heads": 4,
+  "num_layers": 4,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.0",
+  "vocab_size": 50257
+}

generation_config.json CHANGED Viewed

@@ -1,4 +1,4 @@
-{
-  "_from_model_config": true,
-  "transformers_version": "4.48.1"
-}

+{
+  "_from_model_config": true,
+  "transformers_version": "4.47.0"
+}