Instructions to use moma1820/DSV-JavaFx-DAPT-CodeBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moma1820/DSV-JavaFx-DAPT-CodeBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="moma1820/DSV-JavaFx-DAPT-CodeBert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("moma1820/DSV-JavaFx-DAPT-CodeBert") model = AutoModel.from_pretrained("moma1820/DSV-JavaFx-DAPT-CodeBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c87594ddb2dd5bd84d1bbd18b9b7bebdcda6de5a397bb441830478c98767163
- Size of remote file:
- 499 MB
- SHA256:
- d7665e9e3a60875b26208cf849eea7a0788c955ea0d603667f054221fc436bb8
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