Image-Text-to-Text
Transformers
Safetensors
deepseek_vl_v2
image-feature-extraction
forkjoin-ai
edge-deployment
aether
custom_code
Instructions to use forkjoin-ai/deepseek-ocr-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use forkjoin-ai/deepseek-ocr-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="forkjoin-ai/deepseek-ocr-2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("forkjoin-ai/deepseek-ocr-2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use forkjoin-ai/deepseek-ocr-2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "forkjoin-ai/deepseek-ocr-2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "forkjoin-ai/deepseek-ocr-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/forkjoin-ai/deepseek-ocr-2
- SGLang
How to use forkjoin-ai/deepseek-ocr-2 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 "forkjoin-ai/deepseek-ocr-2" \ --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": "forkjoin-ai/deepseek-ocr-2", "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 "forkjoin-ai/deepseek-ocr-2" \ --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": "forkjoin-ai/deepseek-ocr-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use forkjoin-ai/deepseek-ocr-2 with Docker Model Runner:
docker model run hf.co/forkjoin-ai/deepseek-ocr-2
Deepseek Ocr 2 (SafeTensors)
SafeTensors mirror of deepseek-ai/DeepSeek-OCR-2 for distributed edge inference — powered by the Aether runtime on Edgework.ai.
Model Details
| Property | Value |
|---|---|
| Base model | deepseek-ai/DeepSeek-OCR-2 |
| Format | SafeTensors |
| Weight files | 1 shard(s) *.safetensors |
| License | apache-2.0 |
Usage
These are SafeTensors weights — load them with the model's native framework (e.g. transformers / diffusers), not llama.cpp.
huggingface-cli download forkjoin-ai/deepseek-ocr-2 --local-dir ./deepseek-ocr-2
About
Published by AFFECTIVELY · Managed by @buley. Mirrored for distributed edge inference via the Aether runtime.
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Base model
deepseek-ai/DeepSeek-OCR-2