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🤖 Text generation with hugging face Function

Ask question, and use Huggingface inference models to get the answer.

🧰 Usage

GET /

HTML form for interacting with the function.

POST /

Query the model for a completion.

Parameters

Name Description Location Type Sample Value
Content-Type The content type of the request body Header application/json N/A
prompt Text to prompt the model Body String Write a haiku about Mondays

Sample 200 Response:

Response from the model.

{
  "ok": true,
  "completion": "Monday's heavy weight, Dawning with a sigh of grey, Hopeful hearts await."
}

Sample 400 Response:

Response when the request body is missing.

{
  "ok": false,
  "error": "Missing body with a prompt."
}

Sample 500 Response:

Response when the model fails to respond.

{
  "ok": false,
  "error": "Failed to query model."
}

⚙️ Configuration

Setting Value
Runtime Node (18.0)
Entrypoint src/main.js
Build Commands npm install
Permissions any
Timeout (Seconds) 15

🔒 Environment Variables

HUGGINGFACE_ACCESS_TOKEN

An access token for the HuggingFace API. Get one by signing up at HuggingFace.

Question Answer
Required Yes
Sample Value api_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Documentation HuggingFace API Documentation