wrong expressions and typo

wrong expressions and typo
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Dr. Artificial曾小健 2025-09-15 16:05:04 +08:00 committed by GitHub
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@ -29,7 +29,7 @@
<!-- Keep these links. Translations will automatically update with the README. -->
<a href="https://zdoc.app/de/shiyu-coder/Kronos">Deutsch</a> |
<a href="https://zdoc.app/es/shiyu-coder/Kronos">Español</a> |
<a href="https://zdoc.app/fr/shiyu-coder/Kronos">français</a> |
<a href="https://zdoc.app/fr/shiyu-coder/Kronos">Français</a> |
<a href="https://zdoc.app/ja/shiyu-coder/Kronos">日本語</a> |
<a href="https://zdoc.app/ko/shiyu-coder/Kronos">한국어</a> |
<a href="https://zdoc.app/pt/shiyu-coder/Kronos">Português</a> |
@ -73,7 +73,7 @@ We have set up a live demo to visualize Kronos's forecasting results. The webpag
## 📦 Model Zoo
We release a family of pre-trained models with varying capacities to suit different computational and application needs. All models are readily accessible from the Hugging Face Hub.
| Model | Tokenizer | Context length | Param | Open-source |
| Model | Tokenizer | Context length | Params | Open-source |
|--------------|---------------------------------------------------------------------------------| -------------- | ------ |---------------------------------------------------------------------------|
| Kronos-mini | [Kronos-Tokenizer-2k](https://huggingface.co/NeoQuasar/Kronos-Tokenizer-2k) | 2048 | 4.1M | ✅ [NeoQuasar/Kronos-mini](https://huggingface.co/NeoQuasar/Kronos-mini) |
| Kronos-small | [Kronos-Tokenizer-base](https://huggingface.co/NeoQuasar/Kronos-Tokenizer-base) | 512 | 24.7M | ✅ [NeoQuasar/Kronos-small](https://huggingface.co/NeoQuasar/Kronos-small) |
@ -210,7 +210,7 @@ Running this script will generate a plot comparing the ground truth data against
<img src="figures/prediction_example.png" alt="Forecast Example" align="center" width="600px" />
</p>
Additionally, we also provide a script that makes predictions without Volume and Amount data, which can be found in [`examples/prediction_wo_vol_example.py`](examples/prediction_wo_vol_example.py).
Additionally, we provide a script that makes predictions without Volume and Amount data, which can be found in [`examples/prediction_wo_vol_example.py`](examples/prediction_wo_vol_example.py).
## 🔧 Finetuning on Your Own Data (A-Share Market Example)
@ -331,3 +331,4 @@ This project is licensed under the [MIT License](./LICENSE).