W11wo
Rank:Average Model Cost: $0.0000
Number of Runs: 38,791
Models by this creator
indonesian-roberta-base-posp-tagger
indonesian-roberta-base-posp-tagger
The indonesian-roberta-base-posp-tagger is a token classification model that performs part-of-speech (POS) tagging on Indonesian text. POS tagging is the task of assigning grammatical tags to words in a given sentence. This model is based on the RoBERTa architecture, which is a transformer-based language model pre-trained on a large corpus of text. It has been fine-tuned specifically for POS tagging in Indonesian and can accurately label the POS of words in Indonesian sentences.
$-/run
35.2K
Huggingface
indonesian-roberta-base-sentiment-classifier
indonesian-roberta-base-sentiment-classifier
Platform did not provide a description for this model.
$-/run
3.0K
Huggingface
wav2vec2-xls-r-300m-korean
$-/run
267
Huggingface
javanese-gpt2-small
$-/run
59
Huggingface
javanese-bert-small
$-/run
42
Huggingface
indonesian-roberta-base-indonli
$-/run
38
Huggingface
javanese-gpt2-small-imdb-classifier
javanese-gpt2-small-imdb-classifier
Platform did not provide a description for this model.
$-/run
37
Huggingface
javanese-bert-small-imdb-classifier
javanese-bert-small-imdb-classifier
Platform did not provide a description for this model.
$-/run
33
Huggingface
indonesian-roberta-base-indolem-sentiment-classifier-fold-0
$-/run
31
Huggingface
javanese-roberta-small-imdb-classifier
$-/run
31
Huggingface