Load training weights

POST

https://api.fastino.ai

training

jobs

{job_id}

load-weights

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/load-weights" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"path": "step-000100", "optimizer": true}'

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "load"
}

POST /v1/training/jobs/{job_id}/load-weights Restores one of this job’s weights/<name> checkpoints into the same job, for example to roll back a bad update. To continue from a checkpoint in a new job, pass its path as from_checkpoint to POST /v1/training/jobs/create-model.

Request

string

required

Your Fastino API key.

string

required

Interactive job ID.

string

required

The state name saved by this job, or this job’s own tinker://<job_id>/weights/<name> path.

boolean

default:"false"

Also restore the optimizer state.

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/load-weights" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"path": "step-000100", "optimizer": true}'

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "load"
}

Status	Meaning
`400`	`path` is another job’s checkpoint or a sampler checkpoint, or the job was stopped.
`404`	The job doesn’t exist or belongs to another team.

⌘I

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/load-weights" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"path": "step-000100", "optimizer": true}'

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "load"
}

Inference

Training

Request

​Request

Request