cbh123 / llama-ascii

(Updated 1 year, 9 months ago)

  • Public
  • 13 runs
  • L40S
Iterate in playground

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 cbh123/llama-ascii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cbh123/llama-ascii:a1b9d88cd919fad415f22bad5dea00beb8a23055f36a1d2c7150d5422664b3d1",
    input={
        "debug": False,
        "top_k": 250,
        "top_p": 0.95,
        "temperature": 0.95,
        "max_new_tokens": 500,
        "min_new_tokens": -1,
        "repetition_penalty": 1.15,
        "repetition_penalty_sustain": 256,
        "token_repetition_penalty_decay": 128
    }
)

# The cbh123/llama-ascii 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/cbh123/llama-ascii/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.