
# Icelandic ConvBERT-Small
This model was pretrained on the [Icelandic Gigaword Corpus](http://igc.arnastofnun.is/), which contains approximately 1.69B tokens, using default settings. The model uses a Unigram tokenizer with a vocabulary size of 96,000.

# Acknowledgments
This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).

This project was funded by the Language Technology Programme for Icelandic 2019-2023. The programme, which is managed and coordinated by [Almannarómur](https://almannaromur.is/), is funded by the Icelandic Ministry of Education, Science and Culture.
{"language": ["is"], "license": "cc-by-4.0", "datasets": ["igc"]}
transformers pytorch tf convbert feature-extraction is dataset:igc license:cc-by-4.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #convbert #feature-extraction #is #dataset-igc #license-cc-by-4.0 #endpoints_compatible #region-us 


# Icelandic ConvBERT-Small
This model was pretrained on the Icelandic Gigaword Corpus, which contains approximately 1.69B tokens, using default settings. The model uses a Unigram tokenizer with a vocabulary size of 96,000.

# Acknowledgments
This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).

This project was funded by the Language Technology Programme for Icelandic 2019-2023. The programme, which is managed and coordinated by Almannarómur, is funded by the Icelandic Ministry of Education, Science and Culture.
# Icelandic ConvBERT-Small
This model was pretrained on the Icelandic Gigaword Corpus, which contains approximately 1.69B tokens, using default settings. The model uses a Unigram tokenizer with a vocabulary size of 96,000. # Acknowledgments
This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).

This project was funded by the Language Technology Programme for Icelandic 2019-2023. The programme, which is managed and coordinated by Almannarómur, is funded by the Icelandic Ministry of Education, Science and Culture.
TAGS
#transformers #pytorch #tf #convbert #feature-extraction #is #dataset-igc #license-cc-by-4.0 #endpoints_compatible #region-us 
 # Icelandic ConvBERT-Small
This model was pretrained on the Icelandic Gigaword Corpus, which contains approximately 1.69B tokens, using default settings. The model uses a Unigram tokenizer with a vocabulary size of 96,000. # Acknowledgments
This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).

This project was funded by the Language Technology Programme for Icelandic 2019-2023. The programme, which is managed and coordinated by Almannarómur, is funded by the Icelandic Ministry of Education, Science and Culture.
passage: TAGS
#transformers #pytorch #tf #convbert #feature-extraction #is #dataset-igc #license-cc-by-4.0 #endpoints_compatible #region-us 
# Icelandic ConvBERT-Small
This model was pretrained on the Icelandic Gigaword Corpus, which contains approximately 1.69B tokens, using default settings. The model uses a Unigram tokenizer with a vocabulary size of 96,000.# Acknowledgments
This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).

This project was funded by the Language Technology Programme for Icelandic 2019-2023. The programme, which is managed and coordinated by Almannarómur, is funded by the Icelandic Ministry of Education, Science and Culture.