FlaskAI/examples/langchain-huggingface/README.md

Data query example

Example of integration with HuggingFace Inference API with help of langchaingo.

Setup

Download the LocalAI and start the API:

# Clone LocalAI
git clone https://github.com/go-skynet/LocalAI

cd LocalAI/examples/langchain-huggingface

docker-compose up -d

Node: Ensure you've set HUGGINGFACEHUB_API_TOKEN environment variable, you can generate it on Settings / Access Tokens page of HuggingFace site.

This is an example .env file for LocalAI:

MODELS_PATH=/models
CONTEXT_SIZE=512
HUGGINGFACEHUB_API_TOKEN=hg_123456

Using remote models

Now you can use any remote models available via HuggingFace API, for example let's enable using of gpt2 model in gpt-3.5-turbo.yaml config:

name: gpt-3.5-turbo
parameters:
  model: gpt2
  top_k: 80
  temperature: 0.2
  top_p: 0.7
context_size: 1024
backend: "langchain-huggingface"
stopwords:
- "HUMAN:"
- "GPT:"
roles:
  user: " "
  system: " "
template:
  completion: completion
  chat: gpt4all

Here is you can see in field parameters.model equal gpt2 and backend equal langchain-huggingface.

How to use

# Now API is accessible at localhost:8080
curl http://localhost:8080/v1/models
# {"object":"list","data":[{"id":"gpt-3.5-turbo","object":"model"}]}

curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
  "model": "gpt-3.5-turbo",
  "prompt": "A long time ago in a galaxy far, far away",
  "temperature": 0.7
}'