Enchanteddiyparties

https://huggingface.co › docs › transformers › model_doc › auto
Auto Classes Backbones Callbacks Configuration Data Collator Keras callbacks Logging Models Text Generation ONNX Optimization Model outputs PEFT Pipelines Processors Quantization Tokenizer

https://huggingface.co › docs › transformers › tasks › sequence_classification
One of the most popular forms of text classification is sentiment analysis which assigns a label like positive negative or neutral to a sequence of text

https://discuss.huggingface.co › how-is-the-auto-model-for-sequence-classific…
The auto classes are just abstractions that work for every architecture You can see the actual forward passes in each modeling files For instance if you are using a BERT checkpoint you

https://huggingface.co › docs › transformers › model_doc › auto
You will then be able to use the auto classes like you would usually do If your NewModelConfig is a subclass of transformer PretrainedConfig make sure its model type attribute is set to the same key

https://discuss.huggingface.co › how-to-use-auto-model-for-sequenceclassific…
I am trying to use Hugginface s AutoModelForSequence Classification API for multi class classification but am confused about its configuration My dataset is in one hot encoded and the

https://huggingface.co › transformers › model_doc › auto.html
AutoModelForSequenceClassification is a generic model class that will be instantiated as one of the sequence classification model classes of the library when created with the

https://discuss.huggingface.co › can-i-use-automodel-for-sequence-classificati…
Hi did you try this Does it give better results as compared to the BERT models I am trying the same but the model is overfitting on the training dataset

https://huggingface.co › transformers › _modules › transformers › modeling_a…
Configuration can be automatically loaded when The model is a model provided by the library loaded with the shortcut name string of a pretrained model The model was saved using

https://huggingface.co › docs › peft › main › en › task_guides › ptuning-seq-cla…
This guide will show you how to train a roberta large model but you can also use any of the GPT OPT or BLOOM models with p tuning on the mrpc configuration of the GLUE benchmark