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not-lain
/
finetuned_deepseek_ocr

Text Generation
PEFT
TensorBoard
Safetensors
Transformers
DeepseekOCR
feature-extraction
lora
sft
trl
custom_code
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use not-lain/finetuned_deepseek_ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use not-lain/finetuned_deepseek_ocr with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-OCR")
    model = PeftModel.from_pretrained(base_model, "not-lain/finetuned_deepseek_ocr")
  • Transformers

    How to use not-lain/finetuned_deepseek_ocr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="not-lain/finetuned_deepseek_ocr", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("not-lain/finetuned_deepseek_ocr", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use not-lain/finetuned_deepseek_ocr with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "not-lain/finetuned_deepseek_ocr"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "not-lain/finetuned_deepseek_ocr",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/not-lain/finetuned_deepseek_ocr
  • SGLang

    How to use not-lain/finetuned_deepseek_ocr 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 "not-lain/finetuned_deepseek_ocr" \
        --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": "not-lain/finetuned_deepseek_ocr",
    		"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 "not-lain/finetuned_deepseek_ocr" \
            --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": "not-lain/finetuned_deepseek_ocr",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use not-lain/finetuned_deepseek_ocr with Docker Model Runner:

    docker model run hf.co/not-lain/finetuned_deepseek_ocr
finetuned_deepseek_ocr
6.69 GB
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  • 1 contributor
History: 19 commits
not-lain's picture
not-lain
not-lain/finetuned_deepseek_ocr
c2da129 verified 7 months ago
  • runs
    not-lain/finetuned_deepseek_ocr 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.27 kB
    not-lain/finetuned_deepseek_ocr 7 months ago
  • adapter_config.json
    870 Bytes
    Training in progress, epoch 1 7 months ago
  • adapter_model.safetensors
    2.96 MB
    xet
    not-lain/finetuned_deepseek_ocr 7 months ago
  • config.json
    3.28 kB
    Training in progress, epoch 1 7 months ago
  • generation_config.json
    111 Bytes
    not-lain/finetuned_deepseek_ocr 7 months ago
  • model-00001-of-00002.safetensors
    5 GB
    xet
    Training in progress, epoch 1 7 months ago
  • model-00002-of-00002.safetensors
    1.67 GB
    xet
    Training in progress, epoch 1 7 months ago
  • model.safetensors.index.json
    244 kB
    Training in progress, epoch 1 7 months ago
  • special_tokens_map.json
    549 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    9.98 MB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    166 kB
    Upload tokenizer 7 months ago
  • training_args.bin
    5.3 kB
    xet
    Training in progress, epoch 1 7 months ago