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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c23c9ea2bfa5e8f29c0a62e0c1dc7a18413a670dd0d450f54d9c0f7d695cfcbd
- Size of remote file:
- 496 MB
- SHA256:
- b825a73c589f21607f3e2ed6eaf541c52b8a0139d908b67882a469f792cd0ad4
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