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:
- 362f10fd8ec6d92bb5269e4931630021e1c97054150a863fa0b6fea28bdcde7d
- Size of remote file:
- 623 Bytes
- SHA256:
- 943a952f88f652213f5a49f4c9273710a331d77cf848f3bf8cb1db7707f0bc45
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