xinyun/vllm
1
0
Fork 0
mirror of https://git.datalinker.icu/vllm-project/vllm.git synced 2025-12-10 06:25:01 +08:00
Code Issues Packages Projects Releases Wiki Activity

[Docs] Fix broken links to docs/api/summary.md (#23637)

Browse Source 
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor 2025-08-26 14:00:18 +01:00 committed by GitHub
parent 2b4fc9bd9b
commit 164b2273c8
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
3 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
docs/examples/README.md
View File

@ -2,6 +2,6 @@
vLLM's examples are split into three categories:
- If you are using vLLM from within Python code, see [Offline Inference](./offline_inference/)
- If you are using vLLM from an HTTP application or client, see [Online Serving](./online_serving/)
- For examples of using some of vLLM's advanced features (e.g. LMCache or Tensorizer) which are not specific to either of the above use cases, see [Others](./others/)
- If you are using vLLM from within Python code, see [Offline Inference](./offline_inference)
- If you are using vLLM from an HTTP application or client, see [Online Serving](./online_serving)
- For examples of using some of vLLM's advanced features (e.g. LMCache or Tensorizer) which are not specific to either of the above use cases, see [Others](./others)

2
docs/models/generative_models.md
View File

@ -19,7 +19,7 @@ Run a model in generation mode via the option `--runner generate`.
## Offline Inference
The [LLM][vllm.LLM] class provides various methods for offline inference.
See [configuration](../api/summary.md#configuration) for a list of options when initializing the model.
See [configuration](../api/README.md#configuration) for a list of options when initializing the model.
### `LLM.generate`

2
docs/models/pooling_models.md
View File

@ -81,7 +81,7 @@ which takes priority over both the model's and Sentence Transformers's defaults.
## Offline Inference
The [LLM][vllm.LLM] class provides various methods for offline inference.
See [configuration](../api/summary.md#configuration) for a list of options when initializing the model.
See [configuration](../api/README.md#configuration) for a list of options when initializing the model.
### `LLM.embed`