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
File size: 335 Bytes
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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')
``` |