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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |