Marcosgg

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Average Model Cost: $0.0000

Number of Runs: 15,794

Models by this creator

bert-base-gl-cased

bert-base-gl-cased

marcosgg

The "bert-base-gl-cased" model is a language model based on BERT (Bidirectional Encoder Representations from Transformers) architecture. It is trained on a large corpus of text data and can be used for various natural language processing tasks like fill-mask, text classification, named entity recognition, and question answering. The model is cased, meaning it differentiates between uppercase and lowercase letters.

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$-/run

15.2K

Huggingface

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