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") - Notebooks
- Google Colab
- Kaggle
Ryo Sekizawa commited on
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README.md
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license: mit
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arxiv.org/abs/2306.15604
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license: mit
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---
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```python
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tokenizer = AutoTokenizer.from_pretrained('ynklab/XCodeBERT')
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model = AutoModel.from_pretrained('ynklab/XCodeBERT')
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```
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arxiv.org/abs/2306.15604
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