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")# pip install -U transformers accelerate # 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
Ryo Sekizawa commited on
Commit ·
6e79b54
1
Parent(s): ad00a7c
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,4 +9,4 @@ tokenizer = AutoTokenizer.from_pretrained('ynklab/XCodeBERT') # Same as `xlm-rob
|
|
| 9 |
model = AutoModel.from_pretrained('ynklab/XCodeBERT')
|
| 10 |
```
|
| 11 |
|
| 12 |
-
arxiv.org/abs/2306.15604
|
|
|
|
| 9 |
model = AutoModel.from_pretrained('ynklab/XCodeBERT')
|
| 10 |
```
|
| 11 |
|
| 12 |
+
[Paper on arXiv](arxiv.org/abs/2306.15604)
|