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Fix docs

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Andras Schmelczer 2026-10-28 22:31:43 +00:00
commit a61e8709d3
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16
docs/how-to-guides/large-file.md
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@ -1,6 +1,6 @@
# How to use LargeFiles
The functions [save_model][great_ai.use_model] and [@use_model][great_ai.use_model] wrap LargeFile instances. Hence, besides configuring [LargeFile](https://great-ai.schmelczer.dev/reference/large-file), users have few reasons to use LargeFiles directly.
The functions [save_model][great_ai.save_model] and [@use_model][great_ai.use_model] wrap LargeFile instances. Hence, besides configuring [LargeFile](https://great-ai.schmelczer.dev/reference/large-file), users have few reasons to use LargeFiles directly.
## Motivation
@ -16,12 +16,12 @@ Often, especially when working with data-heavy applications, large files can pro
```python
from great_ai.large_file import LargeFileS3
LargeFileS3.configure_credentials({
"aws_region_name": "your_region_like_eu-west-2",
"aws_access_key_id": "YOUR_ACCESS_KEY_ID",
"aws_secret_access_key": "YOUR_VERY_SECRET_ACCESS_KEY",
"large_files_bucket_name": "create_a_bucket_and_put_its_name_here",
})
LargeFileS3.configure_credentials(
aws_region_name="your_region_like_eu-west-2",
aws_access_key_id="YOUR_ACCESS_KEY_ID",
aws_secret_access_key="YOUR_VERY_SECRET_ACCESS_KEY",
large_files_bucket_name="create_a_bucket_and_put_its_name_here",
)
# Creates a new version and deletes the older version
# leaving the three most recently used intact
@ -44,6 +44,8 @@ Often, especially when working with data-heavy applications, large files can pro
The local cache can be configured with these properties:
```python
from pathlib import Path
LargeFileS3.cache_path = Path('.cache')
LargeFileS3.max_cache_size = "30 GB"
```