Instructions to use sangdal/ChatBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangdal/ChatBot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="sangdal/ChatBot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sangdal/ChatBot") model = AutoModelForCausalLM.from_pretrained("sangdal/ChatBot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use sangdal/ChatBot with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sangdal/ChatBot" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sangdal/ChatBot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/sangdal/ChatBot
- SGLang
How to use sangdal/ChatBot 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 "sangdal/ChatBot" \ --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": "sangdal/ChatBot", "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 "sangdal/ChatBot" \ --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": "sangdal/ChatBot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use sangdal/ChatBot with Docker Model Runner:
docker model run hf.co/sangdal/ChatBot
File size: 645 Bytes
cf36eed 1609f2e a7f5782 6fe5f77 7e05203 47b8f77 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ---
language: ko
tags:
- gpt2
license: cc-by-nc-sa-4.0
---
https://huggingface.co/taeminlee/kogpt2์ ๊ธฐ๋ฐ์ผ๋ก https://github.com/codertimo/KorQuAD-Question-Generation ์ ๊ฐ์ง๊ณ ๋ฌธ๋งฅ์ ์
๋ ฅ ํ์๋ ์ง๋ฌธ์ ๋ฝ์์ฃผ๋ ๋ชจ๋ธ๋ก ์์ ํ์์ต๋๋ค.
ํ์์์ ํ๋ก์ ํธ๋ก ์ฐ๊ธฐ ์ํด ์ ์ ํ์์ต๋๋ค.
์ฝ๋ฉ์์ ์ฌ์ฉ ๊ฐ๋ฅํ๊ฒ ์ฝ๋ฉ ์์ค๋ ํจ๊ป ๋ฐฐํฌํ๊ฒ ์ต๋๋ค.
tokenizer์ vocab.json, merges.txt ์์น ์ ์ก์์ฃผ์
์ผํฉ๋๋ค.
2023-08-06
* ํ์ต์ฉ ๋ฐ์ดํฐ๋ ์ด : 4087
* Train : 3269 [train.jsonํ์ผ]
* Test : 818 [dev.jsonํ์ผ]
** ์ต์ ์
๋ก๋ ๋ชจ๋ธ |