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
- Xet hash:
- f38db050b23c6abf297608bd0d28b5635e3822576e33c71f71b4c64a212df539
- Size of remote file:
- 2.23 GB
- SHA256:
- 8d2cde9d49f55cb21f1eae63389a187a9776dba3360fb4be80b52e5ec0caea38
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