Benjamin
Rank:Average Model Cost: $0.0000
Number of Runs: 69,725
Models by this creator
wtp-canine-s-12l-no-adapters
wtp-canine-s-12l-no-adapters
The wtp-canine-s-12l-no-adapters model is a token classification model specifically designed for the wtpsplit task. It is trained to classify tokens into different categories based on their role in the input text. This model does not use any external adapters.
$-/run
15.2K
Huggingface
wtp-canine-s-12l
wtp-canine-s-12l
The wtp-canine-s-12l model is a token classification model that has been trained to identify and classify specific tokens in text related to dogs. It has been trained on a large amount of data and is capable of accurately labeling and categorizing tokens such as dog breeds, dog body parts, dog-related activities, and other relevant terms related to dogs. This model can be useful in various applications that require the identification and classification of dog-related terms in text.
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14.6K
Huggingface
wtp-canine-s-1l
wtp-canine-s-1l
The wtp-canine-s-1l model is a token classification model trained on a dataset related to canines. It is designed to process input text and classify each token into a specific category, such as breed, behavior, or health. This model can be used to extract specific information about canines from text, making it useful for tasks such as information retrieval, data analysis, and natural language understanding related to dogs.
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7.8K
Huggingface
wtp-canine-s-3l-no-adapters
wtp-canine-s-3l-no-adapters
The wtp-canine-s-3l-no-adapters model is a token classification model that has been trained for the task of wtpsplit. It is designed to split text into individual tokens or words.
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5.5K
Huggingface
roberta-base-wechsel-german
roberta-base-wechsel-german
roberta-base-wechsel-german Model trained with WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. See the code here: https://github.com/CPJKU/wechsel And the paper here: https://aclanthology.org/2022.naacl-main.293/ Performance RoBERTa GPT2 See our paper for details. Citation Please cite WECHSEL as
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1.8K
Huggingface
wtp-canine-s-6l
$-/run
1.8K
Huggingface
wtp-canine-s-9l-no-adapters
$-/run
1.8K
Huggingface
wtp-canine-s-3l
$-/run
1.7K
Huggingface
wtp-canine-s-9l
$-/run
1.7K
Huggingface