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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hejlevoj/UniXCoder-C-Rust-semantic-similarity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hejlevoj/UniXCoder-C-Rust-semantic-similarity: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/hejlevoj/UniXCoder-C-Rust-semantic-similarity/resolve/main/tokenizer.json
- Command line
-
hf download hf://hejlevoj/UniXCoder-C-Rust-semantic-similarity/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hejlevoj/UniXCoder-C-Rust-semantic-similarity/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.