Instructions to use ynklab/XCodeBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ynklab/XCodeBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ynklab/XCodeBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ynklab/XCodeBERT") model = AutoModelForMaskedLM.from_pretrained("ynklab/XCodeBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| [Paper on arXiv](https://arxiv.org/abs/2306.15604) | |
| ### Code | |
| Java/PHP/Python/Go | |
| ### Query | |
| En/Fr/Ja/Zh | |
| ```python | |
| from transformers import AutoTokenizer, AutoModel | |
| tokenizer = AutoTokenizer.from_pretrained('ynklab/XCodeBERT') # Same as `xlm-roberta-base` | |
| model = AutoModel.from_pretrained('ynklab/XCodeBERT') | |
| ``` |