I have yet to run any benchmarks on it, but it easily outperforms
potion-multilingual-128M
on my custom-portuguese-testing-workload-thing.
The output dimension is 768.
Usage
Load this model using the
from_pretrained
method:
from model2vec import StaticModel
# Load a pretrained Model2Vec model
model = StaticModel.from_pretrained("cnmoro/static-nomic-eng-ptbr-large")
# Compute text embeddings
embeddings = model.encode(["Example sentence"])
Runs of cnmoro static-nomic-eng-ptbr-large on huggingface.co
22
Total runs
0
24-hour runs
-1
3-day runs
-5
7-day runs
10
30-day runs
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