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fix(docs): Fixed a link in docs (#32274)

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Fixed a link in docs.
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Sai-Suraj-27
2024-07-29 15:20:43 +05:30
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2 changed files with 3 additions and 3 deletions
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docs/source/en/perf_torch_compile.md
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@@ -98,7 +98,7 @@ Below you can find the list of the models we benchmarked.
- [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224)
- [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k)
- [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224)
- [microsoft/resnet-50](https://huggingface.co/)
- [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50)
**Image Segmentation**
- [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512)

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docs/source/en/tf_xla.md
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@@ -157,7 +157,7 @@ Execution time -- 79.0 ms
Execution time -- 78.9 ms
```
The first call to `xla_generate()` is time-consuming because of tracing, but the successive calls are orders of magnitude faster. Keep in mind that any change in the generation options at any point with trigger re-tracing and thus leading to slow-downs in the generation time.
The first call to `xla_generate()` is time-consuming because of tracing, but the successive calls are orders of magnitude faster. Keep in mind that any change in the generation options at any point will trigger re-tracing and thus leading to slow-downs in the generation time.
We didn’t cover all the text generation options 🤗 Transformers provides in this document. We encourage you to read the documentation for advanced use cases.