Feature Extraction
Transformers
Safetensors
Rust
codebert
unixcoder
lora
code-similarity
code-retrieval
c
Instructions to use hejlevoj/UniXCoder-C-Rust-semantic-similarity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hejlevoj/UniXCoder-C-Rust-semantic-similarity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hejlevoj/UniXCoder-C-Rust-semantic-similarity")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hejlevoj/UniXCoder-C-Rust-semantic-similarity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
60f0d1c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1fde5b3250a64d8a9508ea3504e250be9f308ce2a576b5af498e3dde6af90232
size 280019
|