Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

jsun39
/
Cosine-Beta-KD-Task

Image-Text-to-Text
Transformers
PyTorch
English
mobilevlm
text-generation
multimodal
mllm
knowledge-distillation
mobilellama
Model card Files Files and versions
xet
Community

Instructions to use jsun39/Cosine-Beta-KD-Task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jsun39/Cosine-Beta-KD-Task with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="jsun39/Cosine-Beta-KD-Task")
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("jsun39/Cosine-Beta-KD-Task", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use jsun39/Cosine-Beta-KD-Task with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "jsun39/Cosine-Beta-KD-Task"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "jsun39/Cosine-Beta-KD-Task",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/jsun39/Cosine-Beta-KD-Task
  • SGLang

    How to use jsun39/Cosine-Beta-KD-Task 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 "jsun39/Cosine-Beta-KD-Task" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "jsun39/Cosine-Beta-KD-Task",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    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 "jsun39/Cosine-Beta-KD-Task" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "jsun39/Cosine-Beta-KD-Task",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use jsun39/Cosine-Beta-KD-Task with Docker Model Runner:

    docker model run hf.co/jsun39/Cosine-Beta-KD-Task
Cosine-Beta-KD-Task
6.77 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
jsun39's picture
jsun39
Add model card
e45e573 verified 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    3.1 kB
    Add model card 10 days ago
  • config.json
    1.17 kB
    Upload Cosine-KD + Beta-KD(Task) checkpoint-18000 10 days ago
  • generation_config.json
    132 Bytes
    Upload Cosine-KD + Beta-KD(Task) checkpoint-18000 10 days ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    6.77 GB
    xet
    Upload Cosine-KD + Beta-KD(Task) checkpoint-18000 10 days ago
  • special_tokens_map.json
    435 Bytes
    Upload Cosine-KD + Beta-KD(Task) checkpoint-18000 10 days ago
  • tokenizer.model
    500 kB
    xet
    Upload Cosine-KD + Beta-KD(Task) checkpoint-18000 10 days ago
  • tokenizer_config.json
    745 Bytes
    Upload Cosine-KD + Beta-KD(Task) checkpoint-18000 10 days ago