nateraw / axolotl-trainer

  • Public
  • 4 runs
  • L40S

Input

pip install replicate
Set the REPLICATE_API_TOKEN environment variable:
export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:
import replicate

Run nateraw/axolotl-trainer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nateraw/axolotl-trainer:2805a0dd68b361a3a77fcbbcca4590ef5165b4c668ce790571c3ff820e360fc4",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "do_sample": True,
        "temperature": 0.7,
        "max_new_tokens": 512,
        "prompt_template": "{prompt}"
    }
)

# The nateraw/axolotl-trainer model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/nateraw/axolotl-trainer/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.