Prajjwal1

Rank:

Average Model Cost: $0.0000

Number of Runs: 5,592,402

Models by this creator

bert-tiny

The bert-tiny model is a pre-trained BERT variant that is smaller in size compared to other BERT models. It is designed to be trained on a specific downstream task. This model was converted from a TensorFlow checkpoint obtained from the official Google BERT repository. It has 2 layers and a hidden size of 128. The model's configuration and other related models can be found in the provided links.

$-/run

4.5M

Huggingface

bert-small

prajjwal1

The bert-small model is a language model that utilizes the BERT (Bidirectional Encoder Representations from Transformers) architecture. This model is trained on a large corpus of text and can be used for various natural language processing tasks such as text classification, sentiment analysis, and named entity recognition. It is a smaller version of the BERT model and is designed for less computationally intensive tasks.

$-/run

1.0M

Huggingface

bert-mini

prajjwal1

The BERT-Mini model is a smaller version of the BERT (Bidirectional Encoder Representations from Transformers) model. BERT is a state-of-the-art transformer-based model that is pre-trained on a large corpus of text. It can be used for various natural language processing tasks, such as text classification, entity recognition, and question answering. The BERT-Mini model is designed to be more computationally efficient and suitable for low-resource environments. It provides a lower memory footprint and faster inference times compared to the full-size BERT model, while still maintaining reasonable performance on a range of NLP tasks.

$-/run

82.4K

Huggingface

bert-medium

prajjwal1

Bert-medium is a language representation model that can understand the context and meaning of words in a sentence. It is designed to assist in various natural language processing tasks such as sentiment analysis, question answering, and language translation. The model has been trained on a large corpus of text to capture the nuances and semantic relationships between words, enabling it to generate accurate and meaningful outputs.

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18.2K

Huggingface

bert-medium-mnli

prajjwal1