Instructions to use 4luc/codebert-code-clone-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4luc/codebert-code-clone-detector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("4luc/codebert-code-clone-detector") model = AutoModelForSequenceClassification.from_pretrained("4luc/codebert-code-clone-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 4luc/codebert-code-clone-detector: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/4luc/codebert-code-clone-detector/resolve/967977d2c2317a21d32f6819e46ee76ec53b7cb9/training_args.bin
- Command line
-
hf download hf://4luc/codebert-code-clone-detector@967977d2c2317a21d32f6819e46ee76ec53b7cb9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/4luc/codebert-code-clone-detector/resolve/967977d2c2317a21d32f6819e46ee76ec53b7cb9/training_args.bin
4.86 kB
- Xet hash:
- d8e8a00e48f2715d5676e4dfa792a57589b85db8761d0f953d30cb9bbc4e39c0
- Size of remote file:
- 4.86 kB
- SHA256:
- a92d6332361695f84ce88c813cf3cd7a42e6ab95f720eda2c42516a99fff827b
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