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author | Ziang Wu <97337387+ZiangWu-77@users.noreply.github.com> | 2024-03-28 12:03:30 +0800 |
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committer | GitHub <noreply@github.com> | 2024-03-28 13:03:30 +0900 |
commit | d0e2f6416bd43eddb70137f6b96c7bc3d0246102 (patch) | |
tree | a3cc7ba1ac39db478a7064c4d3caf6e552681662 /examples/llava | |
parent | 25f4a613c4ed6451162a87cb90be10d610b49f0f (diff) |
doc: fix typo in MobileVLM-README.md (#6181)
Diffstat (limited to 'examples/llava')
-rw-r--r-- | examples/llava/MobileVLM-README.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/examples/llava/MobileVLM-README.md b/examples/llava/MobileVLM-README.md index b3b66331..1fc83247 100644 --- a/examples/llava/MobileVLM-README.md +++ b/examples/llava/MobileVLM-README.md @@ -6,7 +6,7 @@ for more information, please go to [Meituan-AutoML/MobileVLM](https://github.com The implementation is based on llava, and is compatible with llava and mobileVLM. The usage is basically same as llava. -Notice: The overall process of model inference for both **MobileVLM** and **MobileVLM_V2** models is the same, but the process of model conversion is a little different. Therefore, using MobiVLM as an example, the different conversion step will be shown. +Notice: The overall process of model inference for both **MobileVLM** and **MobileVLM_V2** models is the same, but the process of model conversion is a little different. Therefore, using MobileVLM as an example, the different conversion step will be shown. ## Usage Build with cmake or run `make llava-cli` to build it. |