Kykim
Rank:Average Model Cost: $0.0000
Number of Runs: 83,376
Models by this creator
bertshared-kor-base
bertshared-kor-base
The bertshared-kor-base model is a text-to-text generation model trained on Korean text. It is based on the BERT architecture and is designed to generate text in a variety of natural language processing tasks. It can be fine-tuned for specific tasks such as question answering, text summarization, and machine translation. The model is trained on a large corpus of Korean text and is capable of producing high-quality and contextually relevant text generation outputs.
$-/run
38.8K
Huggingface
bert-kor-base
bert-kor-base
bert-kor-base is a language model trained on a large corpus of Korean text using the BERT (Bidirectional Encoder Representations from Transformers) architecture. It is designed to understand the context of a given sentence and provide predictions for missing words or phrases using the fill-mask task.
$-/run
25.1K
Huggingface
gpt3-kor-small_based_on_gpt2
gpt3-kor-small_based_on_gpt2
The gpt3-kor-small_based_on_gpt2 model is a language generation model based on GPT-2 architecture. It is trained on Korean text and can generate human-like responses given a prompt or context. This model is designed to generate coherent and contextually relevant text in Korean.
$-/run
10.2K
Huggingface
electra-kor-base
electra-kor-base
The electra-kor-base model is a language model trained specifically for the Korean language. It is based on the Electra architecture and has been trained on a large dataset of 70GB of Korean text. The model has been further optimized with 42000 lower-cased subwords. The performance of the model can be checked on GitHub along with other language models for Korean.
$-/run
5.6K
Huggingface
albert-kor-base
$-/run
3.5K
Huggingface
funnel-kor-base
$-/run
134
Huggingface
t5-kor-small
$-/run
11
Huggingface