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Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
47 lines
1.9 KiB
Plaintext
47 lines
1.9 KiB
Plaintext
# Replicate
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This page covers how to run models on Replicate within LangChain.
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## Installation and Setup
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- Create a [Replicate](https://replicate.com) account. Get your API key and set it as an environment variable (`REPLICATE_API_TOKEN`)
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- Install the [Replicate python client](https://github.com/replicate/replicate-python) with `pip install replicate`
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## Calling a model
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Find a model on the [Replicate explore page](https://replicate.com/explore), and then paste in the model name and version in this format: `owner-name/model-name:version`
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For example, for this [dolly model](https://replicate.com/replicate/dolly-v2-12b), click on the API tab. The model name/version would be: `"replicate/dolly-v2-12b:ef0e1aefc61f8e096ebe4db6b2bacc297daf2ef6899f0f7e001ec445893500e5"`
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Only the `model` param is required, but any other model parameters can also be passed in with the format `input={model_param: value, ...}`
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For example, if we were running stable diffusion and wanted to change the image dimensions:
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```
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Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf", input={'image_dimensions': '512x512'})
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```
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*Note that only the first output of a model will be returned.*
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From here, we can initialize our model:
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```python
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llm = Replicate(model="replicate/dolly-v2-12b:ef0e1aefc61f8e096ebe4db6b2bacc297daf2ef6899f0f7e001ec445893500e5")
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```
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And run it:
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```python
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prompt = """
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Answer the following yes/no question by reasoning step by step.
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Can a dog drive a car?
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"""
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llm(prompt)
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```
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We can call any Replicate model (not just LLMs) using this syntax. For example, we can call [Stable Diffusion](https://replicate.com/stability-ai/stable-diffusion):
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```python
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text2image = Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf", input={'image_dimensions':'512x512'})
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image_output = text2image("A cat riding a motorcycle by Picasso")
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```
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