Instructions to use mrm8488/codebert-finetuned-clone-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert-finetuned-clone-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mrm8488/codebert-finetuned-clone-detection")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert-finetuned-clone-detection") model = AutoModel.from_pretrained("mrm8488/codebert-finetuned-clone-detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 5900d5a
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e36187e1ab6f34c7ce201bd481f869e2e13cce96dceb330418aaeb2d47c8e74
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size 498589677
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