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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (3cfef11b2a359f438766b812cd03d0371e2d04f1) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>cb24da9
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End of training
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Training in progress, epoch 1
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initial commit
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