From a5bb3e282d5cb040de0559369a1fcc0457a267cb Mon Sep 17 00:00:00 2001 From: Prathamesh Pawar <163292716+PrathameshSPawar@users.noreply.github.com> Date: Mon, 28 Oct 2024 13:20:45 +0530 Subject: [PATCH] (typo):-Made some corrections with documentation MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit I have made some corrections to your repository to help clarify certain aspects. These improvements aim to enhance the overall understanding and usability of the project. I hope they contribute positively to your work! --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index b5dbc1a8..1d4e6e8a 100644 --- a/README.md +++ b/README.md @@ -731,7 +731,7 @@ Alternatively, if you prefer to complete setup without the welcome automation sc 1. **install requirements.txt** - inside the /llmware path - e.g., ```pip3 install -r llmware/requirements.txt``` -2. **Install requirements_extras.txt** - inside the /llmware path (e.g., ```pip3 install -r llmware/requirements_extras.txt```).Depending upon your use case, you may not need all or any of these installs, but some of these will be used in the examples. +2. **install requirements_extras.txt** - inside the /llmware path - e.g., ```pip3 install -r llmware/requirements_extras.txt```(Depending upon your use case, you may not need all or any of these installs, but some of these will be used in the examples.) 3. **run examples** - copy one or more of the example .py files into the root project path. (We have seen several IDEs that will attempt to run interactively from the nested /example path, and then not have access to the /llmware module - the easy fix is to just copy the example you want to run into the root path). @@ -836,7 +836,7 @@ Questions and discussions are welcome in our [github discussions](https://github See also [additional deployment/install release notes in wheel_archives](https://github.com/llmware-ai/llmware/tree/main/wheel_archives) -**Sunday, October 6th - v0.3.7** +**Sunday, October 6 - v0.3.7** - Added new model class - OVGenerativeModel - to support the use of models packaged in OpenVino format - Added new model class - ONNXGenerativeModel - to support use of models packaged in ONNX format - Getting started with [OpenVino example](https://github.com/llmware-ai/llmware/blob/main/examples/Models/using_openvino_models.py)