Instructions to use mrm8488/codebert-base-finetuned-code-ner 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert-base-finetuned-code-ner") model = AutoModelForTokenClassification.from_pretrained("mrm8488/codebert-base-finetuned-code-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68211e8b1b594d482db033bb05add85152527ebbb685a83e206801a88c2a6e01
- Size of remote file:
- 496 MB
- SHA256:
- 81664c8267bb9ff952ccaf48f1d65acb79579d4cf85e18ee54a6c5dbe422d104
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