Deploy a training checkpoint

POST

https://api.fastino.ai

training-jobs

{job_id}

checkpoints

{checkpoint_id}

deploy

curl -X POST \
  https://api.fastino.ai/v1/training-jobs/YOUR_TRAINING_JOB_ID/checkpoints/CHECKPOINT_ID/deploy \
  -H "X-API-Key: $FASTINO_API_KEY"

{
  "success": true,
  "message": "Checkpoint deployed",
  "job_id": "YOUR_TRAINING_JOB_ID",
  "checkpoint_id": "CHECKPOINT_ID",
  "mme_path": "PROVIDER_MODEL_PATH"
}

POST /v1/training-jobs/{job_id}/checkpoints/{checkpoint_id}/deploy Deploys one deployable checkpoint to the hosted multi-model inference endpoint.

Request

string

required

Your Fastino API key.

string

required

Training-job UUID.

string

required

Checkpoint ID returned by the checkpoint-list endpoint.

curl -X POST \
  https://api.fastino.ai/v1/training-jobs/YOUR_TRAINING_JOB_ID/checkpoints/CHECKPOINT_ID/deploy \
  -H "X-API-Key: $FASTINO_API_KEY"

Response

{
  "success": true,
  "message": "Checkpoint deployed",
  "job_id": "YOUR_TRAINING_JOB_ID",
  "checkpoint_id": "CHECKPOINT_ID",
  "mme_path": "PROVIDER_MODEL_PATH"
}

An unknown job or checkpoint returns 404. A checkpoint that is not deployable returns a request-specific 4xx error.

⌘I

curl -X POST \
  https://api.fastino.ai/v1/training-jobs/YOUR_TRAINING_JOB_ID/checkpoints/CHECKPOINT_ID/deploy \
  -H "X-API-Key: $FASTINO_API_KEY"

{
  "success": true,
  "message": "Checkpoint deployed",
  "job_id": "YOUR_TRAINING_JOB_ID",
  "checkpoint_id": "CHECKPOINT_ID",
  "mme_path": "PROVIDER_MODEL_PATH"
}

Get Started

Core Concepts

Inference API

Training API

Account

Deploy a training checkpoint

Request

Response

​Request

​Response

Request

Response