mirror of
https://github.com/hwchase17/langchain
synced 2024-10-31 15:20:26 +00:00
e2d7677526
# Docs: compound ecosystem and integrations **Problem statement:** We have a big overlap between the References/Integrations and Ecosystem/LongChain Ecosystem pages. It confuses users. It creates a situation when new integration is added only on one of these pages, which creates even more confusion. - removed References/Integrations page (but move all its information into the individual integration pages - in the next PR). - renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations. I like the Ecosystem term. It is more generic and semantically richer than the Integration term. But it mentally overloads users. The `integration` term is more concrete. UPDATE: after discussion, the Ecosystem is the term. Ecosystem/Integrations is the page (in place of Ecosystem/LongChain Ecosystem). As a result, a user gets a single place to start with the individual integration.
47 lines
1.9 KiB
Markdown
47 lines
1.9 KiB
Markdown
# Replicate
|
|
This page covers how to run models on Replicate within LangChain.
|
|
|
|
## Installation and Setup
|
|
- Create a [Replicate](https://replicate.com) account. Get your API key and set it as an environment variable (`REPLICATE_API_TOKEN`)
|
|
- Install the [Replicate python client](https://github.com/replicate/replicate-python) with `pip install replicate`
|
|
|
|
## Calling a model
|
|
|
|
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`
|
|
|
|
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"`
|
|
|
|
Only the `model` param is required, but any other model parameters can also be passed in with the format `input={model_param: value, ...}`
|
|
|
|
|
|
For example, if we were running stable diffusion and wanted to change the image dimensions:
|
|
|
|
```
|
|
Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf", input={'image_dimensions': '512x512'})
|
|
```
|
|
|
|
*Note that only the first output of a model will be returned.*
|
|
From here, we can initialize our model:
|
|
|
|
```python
|
|
llm = Replicate(model="replicate/dolly-v2-12b:ef0e1aefc61f8e096ebe4db6b2bacc297daf2ef6899f0f7e001ec445893500e5")
|
|
```
|
|
|
|
And run it:
|
|
|
|
```python
|
|
prompt = """
|
|
Answer the following yes/no question by reasoning step by step.
|
|
Can a dog drive a car?
|
|
"""
|
|
llm(prompt)
|
|
```
|
|
|
|
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):
|
|
|
|
```python
|
|
text2image = Replicate(model="stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf", input={'image_dimensions':'512x512'})
|
|
|
|
image_output = text2image("A cat riding a motorcycle by Picasso")
|
|
```
|