End of training

c0551d3 about 3 years ago

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# Model Choice

AutoTrain can automagically select the best models for your task! However, you are also
allowed to choose the models you want to use. You can choose the most appropriate models
from the Hugging Face Hub.

![autotrain-model-choice](https://raw.githubusercontent.com/huggingface/autotrain-advanced/main/static/model_choice_1.png)

## AutoTrain Model Choice

To let AutoTrain choose the best models for your task, you can use the "AutoTrain" 
in the "Model Choice" section. Once you choose AutoTrain mode, you no longer need to worry about model and parameter selection.
AutoTrain will automatically select the best models (and parameters) for your task.

## Manual Model Choice

To choose the models manually, you can use the "HuggingFace Hub" in the "Model Choice" section.
For example, if you want to use if you are training a text classification task and want to choose Deberta V3 Base for your task 
from https://huggingface.co/microsoft/deberta-v3-base,
You can choose "HuggingFace Hub" and then write the model name: `microsoft/deberta-v3-base` in the model name field.

![hub-model-choice](https://raw.githubusercontent.com/huggingface/autotrain-advanced/main/static/hub_model_choice.png)

Please note that if you are selecting a hub model, you should make sure that it is compatible with your task, otherwise the training will fail.

	# Model Choice

	AutoTrain can automagically select the best models for your task! However, you are also
	allowed to choose the models you want to use. You can choose the most appropriate models
	from the Hugging Face Hub.

	![autotrain-model-choice](https://raw.githubusercontent.com/huggingface/autotrain-advanced/main/static/model_choice_1.png)

	## AutoTrain Model Choice

	To let AutoTrain choose the best models for your task, you can use the "AutoTrain"
	in the "Model Choice" section. Once you choose AutoTrain mode, you no longer need to worry about model and parameter selection.
	AutoTrain will automatically select the best models (and parameters) for your task.

	## Manual Model Choice

	To choose the models manually, you can use the "HuggingFace Hub" in the "Model Choice" section.
	For example, if you want to use if you are training a text classification task and want to choose Deberta V3 Base for your task
	from https://huggingface.co/microsoft/deberta-v3-base,
	You can choose "HuggingFace Hub" and then write the model name: `microsoft/deberta-v3-base` in the model name field.

	![hub-model-choice](https://raw.githubusercontent.com/huggingface/autotrain-advanced/main/static/hub_model_choice.png)

	Please note that if you are selecting a hub model, you should make sure that it is compatible with your task, otherwise the training will fail.