Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lxcorp
/
Link1-270M

Text Generation
Transformers
Safetensors
Link_test
Link
custom
mariusjabami
conversational
Model card Files Files and versions
xet
Community

Instructions to use lxcorp/Link1-270M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lxcorp/Link1-270M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="lxcorp/Link1-270M")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("lxcorp/Link1-270M", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use lxcorp/Link1-270M with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "lxcorp/Link1-270M"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "lxcorp/Link1-270M",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/lxcorp/Link1-270M
  • SGLang

    How to use lxcorp/Link1-270M 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 "lxcorp/Link1-270M" \
        --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": "lxcorp/Link1-270M",
    		"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 "lxcorp/Link1-270M" \
            --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": "lxcorp/Link1-270M",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use lxcorp/Link1-270M with Docker Model Runner:

    docker model run hf.co/lxcorp/Link1-270M
Link1-270M
575 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
mariusjabami's picture
mariusjabami
Update config.json
9996976 verified 4 months ago
  • .gitattributes
    1.57 kB
    Upload folder using huggingface_hub 4 months ago
  • README.md
    3.09 kB
    Update README.md 4 months ago
  • added_tokens.json
    35 Bytes
    Upload folder using huggingface_hub 4 months ago
  • chat_template.jinja
    1.53 kB
    Upload folder using huggingface_hub 4 months ago
  • config.json
    1.36 kB
    Update config.json 4 months ago
  • generation_config.json
    173 Bytes
    Upload folder using huggingface_hub 4 months ago
  • model.safetensors
    536 MB
    xet
    Upload folder using huggingface_hub 4 months ago
  • special_tokens_map.json
    662 Bytes
    Upload folder using huggingface_hub 4 months ago
  • tokenizer.json
    33.4 MB
    xet
    Upload folder using huggingface_hub 4 months ago
  • tokenizer.model
    4.69 MB
    xet
    Upload folder using huggingface_hub 4 months ago
  • tokenizer_config.json
    1.16 MB
    Upload folder using huggingface_hub 4 months ago