AI model creator details for dccuchile

bert-base-spanish-wwm-cased

The bert-base-spanish-wwm-cased model, also known as BETO, is a Spanish BERT model trained on a large Spanish corpus. It uses the Whole Word Masking technique and is similar in size to BERT-Base. BETO has been evaluated on various Spanish benchmarks and compared with Multilingual BERT and other non-BERT models. It is available as TensorFlow and PyTorch checkpoints. The model can be accessed using the Huggingface Transformers library with the model name 'dccuchile/bert-base-spanish-wwm-cased'. Note that the licenses of the original text resources used to train BETO may not be compatible with commercial use.

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56.4K

Huggingface

bert-base-spanish-wwm-uncased

dccuchile

The bert-base-spanish-wwm-uncased model is a version of the BERT (Bidirectional Encoder Representations from Transformers) model that has been pre-trained on a large corpus of Spanish text. It is a masked language model, which means it can predict missing words in a given sentence by considering the surrounding context. This model can be used for various natural language processing tasks such as text classification, named entity recognition, and sentiment analysis in the Spanish language.

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47.0K

Huggingface

albert-tiny-spanish-finetuned-ner

dccuchile

Platform did not provide a description for this model.

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1.5K

Huggingface

albert-base-10-spanish-finetuned-mldoc

dccuchile

Platform did not provide a description for this model.

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1.1K

Huggingface

distilbert-base-spanish-uncased

dccuchile

Platform did not provide a description for this model.

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768

Huggingface

albert-tiny-spanish

dccuchile

ALBERT Tiny Spanish This is an ALBERT model trained on a big spanish corpora. The model was trained on a single TPU v3-8 with the following hyperparameters and steps/time: LR: 0.00125 Batch Size: 2048 Warmup ratio: 0.0125 Warmup steps: 125000 Goal steps: 10000000 Total steps: 8300000 Total training time (aprox): 58.2 days Training loss

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412

Huggingface

albert-base-spanish

dccuchile

ALBERT Base Spanish This is an ALBERT model trained on a big spanish corpora. The model was trained on a single TPU v3-8 with the following hyperparameters and steps/time: LR: 0.0008838834765 Batch Size: 960 Warmup ratio: 0.00625 Warmup steps: 53333.33333 Goal steps: 8533333.333 Total steps: 3650000 Total training time (aprox): 70.4 days. Training loss

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211

Huggingface

distilbert-base-spanish-uncased-finetuned-ner

dccuchile

Platform did not provide a description for this model.

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55

Huggingface

bert-base-spanish-wwm-uncased-finetuned-mldoc