19 июл. 2022 г. · You can save models with trainer.save_model("path_to_save"). Another cool thing you can do is you can push your model to the Hugging Face Hub as well.

The Trainer class is optimized for Transformers models and can have surprising behaviors when used with other models. When using it with your own model, ...

3 нояб. 2020 г. · After using the Trainer to train the downloaded model, I save the model with trainer.save_model() and in my trouble shooting I save in a ... saving finetuned model locally - Stack Overflow Do we need to explicitly save a Hugging Face (HF) model ... How to properly save the finetuned transformer model in ... Другие результаты с сайта stackoverflow.com

21 мар. 2024 г. · When I save the model with Trainer.save_model() and load it again with LlamaForCausalLM.from_pretrained(), none of the parameter keys are matched.

12 июн. 2023 г. · Specifically, when I used the Trainer.save_model() function to save the training results to output_dir , it only stored the model weights, ...

How do I save the best model?​. If load_best_model_at_end=True is set in the TrainingArguments that are passed to the Trainer , then W&B will save the ...

When saving a model for inference, it is only necessary to save the trained model's learned parameters. Saving the model's state_dict with the torch.save() ...

12 апр. 2022 г. · I am using pre-trained Hugging face model. I launch it as train.py file which I copy inside docker image and use vertex-ai ( GCP) to launch it using ...

Will save the model, so you can reload it using from_pretrained() . Will only save from the main process. train (resume_from_checkpoint: Optional[Union[bool ...

23 янв. 2024 г. · This blog post walks you thorugh how to fine-tune open LLMs using Hugging Face TRL, Transformers & datasets in 2024.