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: 25 Bytes
6b5a53a | 1 | {"model_max_length": 512} |