Instructions to use cjvt/legacy-t5-sl-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/legacy-t5-sl-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cjvt/legacy-t5-sl-small") model = AutoModelForSeq2SeqLM.from_pretrained("cjvt/legacy-t5-sl-small") - Notebooks
- Google Colab
- Kaggle
[legacy] t5-sl-small
This is the first version of the t5-sl-small model, which has since been replaced by an updated model (cjvt/t5-sl-small). The architecture of the two models is the same, but the legacy version was trained for about 6 times less (i.e. the model has seen 6 times less data during the training).
This version remains here due to reproducibility reasons.
Corpora
The following corpora were used for training the model:
- Gigafida 2.0
- Kas 1.0
- Janes 1.0 (only Janes-news, Janes-forum, Janes-blog, Janes-wiki subcorpora)
- Slovenian parliamentary corpus siParl 2.0
- slWaC
- Downloads last month
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