Instructions to use fasterinnerlooper/codereviewer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fasterinnerlooper/codereviewer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fasterinnerlooper/codereviewer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fasterinnerlooper/codereviewer") model = AutoModel.from_pretrained("fasterinnerlooper/codereviewer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 046cb47091c5d34994a195c5f6b61ad166cd219af9253bc0cdb0b3ca77e246eb
- Size of remote file:
- 892 MB
- SHA256:
- 0e6da61784206e72a5a4159752e3f46fb4f2119c8a9b493be652ce87b2c17308
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