mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
985496f4be
Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
18 lines
488 B
Markdown
18 lines
488 B
Markdown
# NLPCloud
|
|
|
|
This page covers how to use the NLPCloud ecosystem within LangChain.
|
|
It is broken into two parts: installation and setup, and then references to specific NLPCloud wrappers.
|
|
|
|
## Installation and Setup
|
|
- Install the Python SDK with `pip install nlpcloud`
|
|
- Get an NLPCloud api key and set it as an environment variable (`NLPCLOUD_API_KEY`)
|
|
|
|
## Wrappers
|
|
|
|
### LLM
|
|
|
|
There exists an NLPCloud LLM wrapper, which you can access with
|
|
```python
|
|
from langchain.llms import NLPCloud
|
|
```
|