Instructions to use mrm8488/codebert-base-finetuned-code-ner-15e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert-base-finetuned-code-ner-15e with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/codebert-base-finetuned-code-ner-15e")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert-base-finetuned-code-ner-15e") model = AutoModelForTokenClassification.from_pretrained("mrm8488/codebert-base-finetuned-code-ner-15e", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 147e3d650c4a30c6fb5abf5ad03363d941360d7f38ffd70ea71632d0f01171ed
- Size of remote file:
- 496 MB
- SHA256:
- 58bdbedb33ae75f2559fd5b2f96449bf5b4587b47e8c3952cb0d736ff5094b72
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