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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae08ad1ea68cc9c422070a909389ecd242514c8b7eb4bfbc594d3e2ce6d6268c
- Size of remote file:
- 496 MB
- SHA256:
- cd1fc85d3af4e9a1c84beef8d5b17e26de6fe75495dbf4cb6b2f0107df2b5373
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