The base class PretrainedConfig implements the common methods for loading/saving a configuration either from a local file or directory, or from a pretrained ...

num_labels ( int , optional) — Number of labels to use in the last layer added to the model, typically for a classification task. task_specific_params ( Dict[ ...

11 июн. 2020 г. · You can set the output shape of the classification layer with from_pretrained via the num_labels parameter: What does num_labels actually do? - Stack Overflow huggingface transformers classification using num_labels 1 vs 2 Другие результаты с сайта stackoverflow.com

5 апр. 2022 г. · You can specify id2label maps in from_pretrained() but only specifying num_labels won't work. You have to explicitly call the num_labels setter to ensure that ...

17 мар. 2024 г. · # let's pretend there are 10 labels model = transformers.AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=10)

config = AutoConfig.from_pretrained(. pretrained_model_name, num_labels=num_labels, torchscript=torchscript. ) model = AutoModelForSequenceClassification ...

To help you get started, we've selected a few transformers.DistilBertConfig examples, based on popular ways it is used in public projects.

26 июл. 2024 г. · ... = AutoConfig.from_pretrained(model_name_or_path, num_labels=num_labels) self.model = AutoModelForSequenceClassification.from_pretrained ...

In this federated learning tutorial we will learn how to train a large language model (LLM) on the IMDB dataset using Flower and the Hugging Face Transformers ...