This is a 100-dimensional word2vec model trained on this Toki Pona dataset.
The file model.txt contains the model's vocab and embeddings. You can load the model with the following code:
from huggingface_hub import hf_hub_download
from gensim.models import KeyedVectors
model_path = hf_hub_download(
repo_id="finnnnnnnnnnnn/toki-pona-word2vec",
filename="model.txt",
)
model = KeyedVectors.load_word2vec_format(model_path, binary=False)
print(model.most_similar("mi"))
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