Fix guide URLs in README

huggingface · Oct 22, 2024 · 96b30ae · 96b30ae
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diff --git a/README.md b/README.md
@@ -108,7 +108,7 @@ const pipe = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncase
 });
 ```
 
-For more information, check out the [WebGPU guide](./guides/webgpu).
+For more information, check out the [WebGPU guide](https://huggingface.co/docs/transformers.js/guides/webgpu).
 
 > [!WARNING]
 > The WebGPU API is still experimental in many browsers, so if you run into any issues,
@@ -118,7 +118,7 @@ In resource-constrained environments, such as web browsers, it is advisable to u
 the model to lower bandwidth and optimize performance. This can be achieved by adjusting the `dtype` option,
 which allows you to select the appropriate data type for your model. While the available options may vary
 depending on the specific model, typical choices include `"fp32"` (default for WebGPU), `"fp16"`, `"q8"`
-(default for WASM), and `"q4"`. For more information, check out the [quantization guide](./guides/dtypes).
+(default for WASM), and `"q4"`. For more information, check out the [quantization guide](https://huggingface.co/docs/transformers.js/guides/dtypes).
 ```javascript
 // Run the model at 4-bit quantization
 const pipe = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english', {

diff --git a/docs/snippets/1_quick-tour.snippet b/docs/snippets/1_quick-tour.snippet
@@ -52,7 +52,7 @@ const pipe = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncase
 });
 ```
 
-For more information, check out the [WebGPU guide](./guides/webgpu).
+For more information, check out the [WebGPU guide](/guides/webgpu).
 
 > [!WARNING]
 > The WebGPU API is still experimental in many browsers, so if you run into any issues,
@@ -62,7 +62,7 @@ In resource-constrained environments, such as web browsers, it is advisable to u
 the model to lower bandwidth and optimize performance. This can be achieved by adjusting the `dtype` option,
 which allows you to select the appropriate data type for your model. While the available options may vary
 depending on the specific model, typical choices include `"fp32"` (default for WebGPU), `"fp16"`, `"q8"`
-(default for WASM), and `"q4"`. For more information, check out the [quantization guide](./guides/dtypes).
+(default for WASM), and `"q4"`. For more information, check out the [quantization guide](/guides/dtypes).
 ```javascript
 // Run the model at 4-bit quantization
 const pipe = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english', {