Interact with Large Language Models (Execute Instructions, Create Embeddings).
Project description
cmem-plugin-llm
Interact with Large Language Models (Execute Instructions, Create Embeddings).
This is a plugin for eccenca Corporate Memory. You can install it with the cmemc command line client like this:
cmemc admin workspace python install cmem-plugin-llm
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cmem_plugin_llm-2.0.0rc1.tar.gz
(23.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cmem_plugin_llm-2.0.0rc1.tar.gz.
File metadata
- Download URL: cmem_plugin_llm-2.0.0rc1.tar.gz
- Upload date:
- Size: 23.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.4 CPython/3.12.11 Darwin/24.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fbad07f9ad47bdab2f3b8a156f2886b6ce99abae382393d8a1f364709f060231
|
|
| MD5 |
2b5bd8bee7f5c4c0fa425d4350d80f1e
|
|
| BLAKE2b-256 |
8d52c40f57f9522203bc6a7c3c514a3b9da3cbcf243c8b54948111eee9aef55f
|
File details
Details for the file cmem_plugin_llm-2.0.0rc1-py3-none-any.whl.
File metadata
- Download URL: cmem_plugin_llm-2.0.0rc1-py3-none-any.whl
- Upload date:
- Size: 25.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.4 CPython/3.12.11 Darwin/24.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d384d90eb3e3ee4c037e28a909c2c53bb0729c92a6a89d44540493c4cae22ed5
|
|
| MD5 |
bcddb5895727247f0cdc4a20ee1de1e6
|
|
| BLAKE2b-256 |
8e997390039813ef6d22e44697db292af7b60e8965b50783b3f395ac4a99c321
|
