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fix(docs): fixed a broken link to quantization guide #1014

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Nov 6, 2024
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fix(docs): fixed a broken link to quantization guide #1014

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2 changes: 1 addition & 1 deletion docs/snippets/1_quick-tour.snippet
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Expand Up @@ -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', {
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