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Isaac 0.1 Vision

perceptron/isaac-01
Isaac-01 is a multimodal vision-language model from Perceptron for various vision language tasks.
Inference
Commercial use
Streaming
Partner
Schema
LLMs
PlaygroundAPI

Input

Streaming
Sign in to run

Result

Idle

What would you like to do next?

$0.26 per 1M input tokens, $2.17 per 1M output tokens

Logs

For an OpenAI compatible API, you can use it like below:

py
from openai import OpenAI

client = OpenAI(
    base_url="https://fal.run/perceptron/isaac-01/openai/v1",
    api_key="N/A",
    default_headers={
        "Authorization": f"Key {os.environ['FAL_KEY']}",
    }
)

response_style = "box"
messages = [
    {
        "role": "user",
        "content": [
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://storage.googleapis.com/falserverless/model_tests/perceptron/8d3aef9b-5b44-4853-8381-80c24dd24deb.webp"
                }
            }
        ]
    },
    {
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "Was a shot taken before the buzzer? Use the ball positioning and the shot clock to make your decision. Provide a one sentence rationale."
            }
        ]
    },
]

response = client.chat.completions.create(
    model="perceptron",
    messages=messages,
    extra_body={
        "response_style": response_style,
    }
)

Or directly use the endpoint via cURL:

bash
curl https://fal.run/perceptron/isaac-01/openai/v1/chat/completions \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "perceptron", "messages": [{"role": "user", "content": [{"type": "image_url", "image_url": {"url": "https://storage.googleapis.com/falserverless/model_tests/perceptron/8d3aef9b-5b44-4853-8381-80c24dd24deb.webp" }}]}, {"role": "user", "content": [{"type": "text", "text": "Was a shot taken before the buzzer? Use the ball positioning and the shot clock to make your decision. Provide a one sentence rationale." }] }], "extra_body": {"response_style": "box"}}'