Instructions to use AllenGeng/CodeBert14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AllenGeng/CodeBert14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AllenGeng/CodeBert14")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AllenGeng/CodeBert14") model = AutoModelForTokenClassification.from_pretrained("AllenGeng/CodeBert14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3641cac01d6c787f65329cd0d576e615361d56528b53ee9aad972cee4e43e17
- Size of remote file:
- 496 MB
- SHA256:
- facd0c59390135ed90d5d10af82f5ab3db4244c854bd740af063ab544fa9631d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.