
414M tokens
1) 73M hy wikipedia
2) 341M arlis database 

74951 unique words

3-5 ngrams

5 window length

300 embedding dim

skipgram

minimum number of words 150

100 epochs, 0.05 start lr

26 hours on 20 xeon gold cores

How to use

```
import fasttext

model = fasttext.load_model('output.bin')

model.get_nearest_neighbors('զենքեր')

```
{"language": ["hy"], "library_name": "fasttext", "datasets": ["armvectores/hy_wikipedia_2023"], "pipeline_tag": "feature-extraction"}
fasttext feature-extraction hy dataset:armvectores/hy_wikipedia_2023 region:us
TAGS
#fasttext #feature-extraction #hy #dataset-armvectores/hy_wikipedia_2023 #region-us 


414M tokens
1) 73M hy wikipedia
2) 341M arlis database 

74951 unique words

3-5 ngrams

5 window length

300 embedding dim

skipgram

minimum number of words 150

100 epochs, 0.05 start lr

26 hours on 20 xeon gold cores

How to use


TAGS
#fasttext #feature-extraction #hy #dataset-armvectores/hy_wikipedia_2023 #region-us 
