Instructions to use NamCyan/codebert-base-technical-debt-code-tesoro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NamCyan/codebert-base-technical-debt-code-tesoro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NamCyan/codebert-base-technical-debt-code-tesoro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NamCyan/codebert-base-technical-debt-code-tesoro") model = AutoModelForSequenceClassification.from_pretrained("NamCyan/codebert-base-technical-debt-code-tesoro") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ad21c99 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:685113071eb7ca401dc975b810b69636c32ddb4db8aeed7d16cba347a7b09c41
size 498618976
|