Julien-c
Rank:Average Model Cost: $0.0000
Number of Runs: 85,264
Models by this creator
dummy-unknown
dummy-unknown
The fill-mask model is a language model that can be used to predict missing words in a sentence. It takes a sentence with a placeholder [MASK] and determines the most likely word that should be inserted in place of the placeholder. This model is trained on a large amount of text data and learns patterns in language to make accurate predictions.
$-/run
36.6K
Huggingface
bert-xsmall-dummy
bert-xsmall-dummy
The bert-xsmall-dummy model is a pre-trained language model that utilizes the BERT architecture. It is intended for the task of fill-mask, where a masked word in a sentence is predicted by the model based on the context. However, no further details are available about this specific model.
$-/run
28.6K
Huggingface
hotdog-not-hotdog
hotdog-not-hotdog
The "hotdog-not-hotdog" model is an image classification model that can determine whether an image contains a picture of a hotdog or not. It can be used to analyze and classify images to identify if they are hotdogs or not.
$-/run
11.7K
Huggingface
dummy-diff-tokenizer
dummy-diff-tokenizer
The dummy-diff-tokenizer is a model that tokenizes text by identifying differences between two texts and creating a list of tokens representing those differences. It is useful for tasks such as text diffing and change detection.
$-/run
7.0K
Huggingface
DPRNNTasNet-ks16_WHAM_sepclean
DPRNNTasNet-ks16_WHAM_sepclean
Platform did not provide a description for this model.
$-/run
449
Huggingface
EsperBERTo-small-pos
$-/run
131
Huggingface
distilbert-feature-extraction
distilbert-feature-extraction
Platform did not provide a description for this model.
$-/run
102
Huggingface
ljspeech_tts_train_tacotron2_raw_phn_tacotron_g2p_en_no_space_train
ljspeech_tts_train_tacotron2_raw_phn_tacotron_g2p_en_no_space_train
Platform did not provide a description for this model.
$-/run
83
Huggingface
kan-bayashi_csmsc_tacotron2
$-/run
51
Huggingface