Post
371
📢 For those who wish to apply DeepSeek-R1 for handling tabular / streaming data using schema of prompts (CoT), the OpenRouter AI hosts API for accessing:
https://openrouter.ai/deepseek/deepseek-r1
The no-string option to quick start with using DeepSeek-R1 includes three steps:
✅ OpenRouter provider: https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/open_router.py
✅ Bulk-chain for infering data: https://github.com/nicolay-r/bulk-chain
✅ Json Schema for Chain-of-Though reasoning (see screenshot 📷 below)
📺 below is a screenshot of how to quick start the demo, in which you can test your schema for LLM responses. It would ask to type all the parameters first for completing the requests (which is
To apply it for JSONL/CSV data, you can use
⏳ As for time, OpenRouter finds me relatively slow with 30~40 seconds per request
Models:
deepseek-ai/DeepSeek-R1
https://openrouter.ai/deepseek/deepseek-r1
The no-string option to quick start with using DeepSeek-R1 includes three steps:
✅ OpenRouter provider: https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/open_router.py
✅ Bulk-chain for infering data: https://github.com/nicolay-r/bulk-chain
✅ Json Schema for Chain-of-Though reasoning (see screenshot 📷 below)
📺 below is a screenshot of how to quick start the demo, in which you can test your schema for LLM responses. It would ask to type all the parameters first for completing the requests (which is
text within this example).To apply it for JSONL/CSV data, you can use
--src shell parameter for passing the related file⏳ As for time, OpenRouter finds me relatively slow with 30~40 seconds per request
Models:
deepseek-ai/DeepSeek-R1
