Spaces:
Running
Running
louisbrulenaudet
commited on
Commit
•
a948108
1
Parent(s):
114f07a
Update README.md
Browse files
README.md
CHANGED
@@ -34,6 +34,14 @@ Assistants are a great way to configure models to perform specific tasks. You ca
|
|
34 |
|
35 |
The prompts behind them are public. Feel free to tailor them to your needs. Also, share your ideas for other Assistants in the Community tab!
|
36 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
37 |
### Organization architecture
|
38 |
|
39 |
In order to simplify the deployment of the organization's various tools, we propose a simple architecture in which datasets containing the various legal and contractual texts are doubled by datasets containing embeddings for different models, to enable simplified index creation for Spaces initialization and the provision of vector data for the GPU-poor. A simplified representation might look like this:
|
|
|
34 |
|
35 |
The prompts behind them are public. Feel free to tailor them to your needs. Also, share your ideas for other Assistants in the Community tab!
|
36 |
|
37 |
+
### hf-for-legal, A Community Package for Legal Applications
|
38 |
+
|
39 |
+
You can now download the community package to format your splits and upload in an easier manner your data to the hub.
|
40 |
+
|
41 |
+
`pip3 install hf-for-legal`
|
42 |
+
|
43 |
+
Find the documentation of the package on PyPi: https://pypi.org/project/hf-for-legal/
|
44 |
+
|
45 |
### Organization architecture
|
46 |
|
47 |
In order to simplify the deployment of the organization's various tools, we propose a simple architecture in which datasets containing the various legal and contractual texts are doubled by datasets containing embeddings for different models, to enable simplified index creation for Spaces initialization and the provision of vector data for the GPU-poor. A simplified representation might look like this:
|