Instructions to use peter-nagy/deep-grader-codebert-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter-nagy/deep-grader-codebert-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peter-nagy/deep-grader-codebert-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peter-nagy/deep-grader-codebert-python") model = AutoModelForSequenceClassification.from_pretrained("peter-nagy/deep-grader-codebert-python") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
397cc05 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e0545b7770082b114ce1b2a9cc7d2f297ec9f01c528931cbf3e957cc984ac5e7
size 2479
|