# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("deliciouscat/leobert")
model = AutoModel.from_pretrained("deliciouscat/leobert")Quick Links
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Check out the documentation for more information.
This model is designed for the Leo language and is based on microsoft/codebert-base.
With the code data written in the Leo language crawled from GitHub, the model is trained using self-supervised learning with triplet loss.
Anchor and positive code chunks are from the same code, while negatives are not.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deliciouscat/leobert")