Skip to content

Commit a66e57d

Browse files
committed
feat(ai): add custom model import
1 parent 9254686 commit a66e57d

File tree

2 files changed

+49
-0
lines changed

2 files changed

+49
-0
lines changed
Lines changed: 45 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,45 @@
1+
---
2+
meta:
3+
title: How to import custom models into Managed Inference
4+
description: Learn how to import your custom models into Scaleway's Managed Inference platform.
5+
content:
6+
h1: How to import custom models into Managed Inference
7+
paragraph: Learn how to import your custom models into Scaleway's Managed Inference platform.
8+
tags: managed-inference ai-data import custom model
9+
dates:
10+
validation: 2025-01-10
11+
posted: 2025-01-10
12+
categories:
13+
- ai-data
14+
15+
---
16+
17+
Scaleway provides a selection of common models for deployment from the Scaleway console. If you need a specific model, you can import it into Managed Inference directly from Hugging Face or a Scaleway Object Storage bucket.
18+
19+
<Macro id="requirements" />
20+
- A Scaleway account logged into the [console](https://console.scaleway.com).
21+
- [Owner](/identity-and-access-management/iam/concepts/#owner) status or [IAM permissions](/identity-and-access-management/iam/concepts/#permission) to perform actions in your Organization.
22+
23+
1. Click **Managed Inference** in the **AI & Data** section of the side menu in the [Scaleway console](https://console.scaleway.com/) to access the dashboard.
24+
2. Click **Deploy a model** to launch the model deployment wizard.
25+
3. In the **Choose a model** section, select **Custom model**. If you have no model yet, click **Import a model** to start the model import wizard.
26+
4. Choose an upload source:
27+
- **Hugging Face**: Pull the model from Hugging Face.
28+
- **Object Storage**: This feature is coming soon.
29+
5. Enter your Hugging Face access token, which must have READ access to the repository.
30+
<Message type="note">
31+
Learn how to generate a Hugging Face access token [here](https://huggingface.co/docs/hub/security-tokens).
32+
</Message>
33+
6. Enter the name of the Hugging Face repository to pull the model from.
34+
<Message type="note">
35+
Ensure you have access to gated models if applicable. Refer to the [Hugging Face documentation](https://huggingface.co/docs/hub/en/models-gated) for details.
36+
</Message>
37+
7. Choose a name for your model. The name must be unique within your Organization and Project and cannot be changed later.
38+
8. Click **Verify import** to check your Hugging Face credentials and ensure model compatibility.
39+
9. Review the summary of your import, which includes:
40+
- Context size by node type.
41+
- Quantization options.
42+
- Estimated cost.
43+
Once checked, click **Begin import** to finalize the process.
44+
45+
Your imported model will now appear in the model library. You can proceed to [deploy your model on Managed Inference](/ai-data/managed-inference/how-to/create-deployment/).

menu/navigation.json

Lines changed: 4 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -631,6 +631,10 @@
631631
"label": "Deploy a model",
632632
"slug": "create-deployment"
633633
},
634+
{
635+
"label": "Import a custom model",
636+
"slug": "import-custom-model"
637+
},
634638
{
635639
"label": "Monitor a deployment",
636640
"slug": "monitor-deployment"

0 commit comments

Comments
 (0)