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Distilbert Base Uncased

huggingface

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The DistilBERT model is a smaller and faster version of the BERT model. It was pretrained using a similar process as BERT, but with a distilled teacher model. It has been pretrained on raw texts and can be fine-tuned for various downstream tasks. The model is primarily designed for tasks that use whole sentences, such as sequence classification or question answering. It has been trained on a dataset called BookCorpus, which consists of unpublished books and English Wikipedia articles. The model has the ability to perform masked language modeling and has been trained to predict missing words in sentences. It is important to note that the model may have biased predictions, as it inherits biases from its teacher model.

Use cases

This AI model, DistilBERT, has several potential use cases for technical audiences. It can be used for tasks such as sequence classification, token classification, and question answering, where the model uses the entire sentence (possibly with masked words) to make decisions. It is smaller and faster than the original BERT model, making it more efficient for inference and downstream tasks. This model can also be fine-tuned on specific tasks of interest by searching the model hub for pre-trained versions. However, it may not be suitable for text generation tasks, as there are other models like GPT2 that are better suited for that purpose. DistilBERT has been trained on the BookCorpus dataset, which includes unpublished books and English Wikipedia articles. It has the ability to perform masked language modeling, where it can predict missing words in sentences. It is important to be aware that the model may have biased predictions, as it inherits biases from its teacher model. Overall, DistilBERT offers a versatile and efficient solution for a variety of natural language processing tasks.

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Pricing

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Creator Models

ModelCostRuns
The No Branch Repo$?1
Informer Tourism Monthly$?637
Bert Base German Dbmdz Uncased$?57,816
Albert Xlarge V2$?3,624
Bert Base Cased Finetuned Mrpc$?13,636

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Overview

Summary of this model and related resources.

PropertyValue
Creatorhuggingface
Model NameDistilbert Base Uncased
Description

This model is a distilled version of the BERT base model. It was introduced...

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Tagsfill-mask
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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PropertyValue
Runs11,338,073
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Cost

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Cost per Run$-
Prediction Hardware-
Average Completion Time-