ELMo embeddings model, Slovenian

ELMo embeddings model, Slovenian

CLARIN.SI data & tools

Authors: Ulčar, Matej

Item identifier: http://hdl.handle.net/11356/1257

Project URL: http://embeddia.eu

Date issued: 2019-10-15

Type: text, toolService

Size: 213 mb, 1364064 tokens

Language(s): Slovenian

Description: ELMo language model (https://github.com/allenai/bilm-tf) used to produce contextual word embeddings, trained on entire Gigafida 2.0 corpus (https://viri.cjvt.si/gigafida/System/Impressum) for 10 epochs. 1,364,064 most common tokens were provided as vocabulary during the training. The model can also infer OOV words, since the neural network input is on the character level.

Publisher: Faculty of Computer and Information Science, University of Ljubljana

Subject(s): ELMo contextual embeddings word embeddings

Collection(s): CLARIN.SI data & tools

This item is replaced by a newer submission:

http://hdl.handle.net/11356/1277

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Name: gigafida_weights.hdf5
Size: 212.96 MB
Format: Unknown
Description: pytorch weights of the model
MD5: e312065555a9cc3d55b6a4c86138b498

Name: options.json
Size: 546 bytes
Format: Unknown
Description: options file used for training and inference
MD5: c6212def0ff5cf2feb1054b475b7e8c0