[ Docs] translated peft (ES) and toctree.yml add #30554
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stevhliu
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Apr 29, 2024
docs/source/es/_toctree.yml
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| @@ -96,6 +96,8 @@ | |||
| title: Mecanismos de atención | |||
| - local: pad_truncation | |||
| title: Relleno y truncamiento | |||
| local: peft | |||
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This should be in the "Tutorial" section.
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| local: peft | |
| - local: peft |
docs/source/es/peft.md
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| <div class="flex flex-col justify-center"> | ||
| <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/peft/PEFT-hub-screenshot.png"/> | ||
| <figcaption class="text-center">The adapter weights for a OPTForCausalLM model stored on the Hub are only ~6MB compared to the full size of the model weights, which can be ~700MB.</figcaption> |
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Would be nice to also translate the caption 🙂
docs/source/es/peft.md
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| ## Cargar en 8bit o 4bit | ||
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| La integración de `bitsandbytes` apoya los tipos de datos precisos que son utilizados para cargar modelos grandes porque | ||
| guarda memoria (mira la [guia](./quantization#bitsandbytes-integration) de `bitsandbytes` para aprender mas). Agrega el parametro `load_in_8bit` o el parametro `load_in_4bit` al [`~PreTrainedModel.from_pretrained`] y coloca `device_map="auto"` para effectivamente distribuir el modelo tu hardware: |
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The "Quantization" doc doesn't exist in Spanish yet so let's link to the English one for now
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| guarda memoria (mira la [guia](./quantization#bitsandbytes-integration) de `bitsandbytes` para aprender mas). Agrega el parametro `load_in_8bit` o el parametro `load_in_4bit` al [`~PreTrainedModel.from_pretrained`] y coloca `device_map="auto"` para effectivamente distribuir el modelo tu hardware: | |
| guarda memoria (mira la [guia](https://huggingface.co/docs/transformers/quantization#bitsandbyes) de `bitsandbytes` para aprender mas). Agrega el parametro `load_in_8bit` o el parametro `load_in_4bit` al [`~PreTrainedModel.from_pretrained`] y coloca `device_map="auto"` para effectivamente distribuir el modelo tu hardware: |
aaronjimv
reviewed
Apr 29, 2024
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Add the Spanish version of
peft.mdtotransformers/docs/source/es#28936
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@stevhliu @aaronjimv If you don't mind reviewing, thanks!! :)