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distilcamembert-base is a masked language model based on the CamemBERT architecture. It has been pretrained on a large corpus of French text and can be used for tasks like filling in missing words in a given sentence.

distilcamembert-base-ner is a BERT-based model specifically trained for named entity recognition (NER) tasks. It is based on the smaller distilcamembert-base model, which is a French version of BERT. The purpose of this token classification model is to label each token in a given text with the appropriate named entity category, such as person names, locations, organizations, etc.

Cmarkea

Models by this creator

distilcamembert-base

distilcamembert-base-ner

distilcamembert-base-sentiment

distilcamembert-base-nli

distilcamembert-base-qa

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