Instructions to use AllenGeng/CodeBert15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AllenGeng/CodeBert15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AllenGeng/CodeBert15")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AllenGeng/CodeBert15") model = AutoModelForTokenClassification.from_pretrained("AllenGeng/CodeBert15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9618a2acd970172ba0ec9b67702b438bcd7dbcb0bd3d9d8d96a4bd3fd379171d
- Size of remote file:
- 496 MB
- SHA256:
- 1c2077c96d077d35815941fe0fd094ae547916a38d7fb4f0fa1394eaafa25801
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