Instructions to use dipudl/codeT5-DistilBERT-function-swap-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-function-swap-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-function-swap-bug-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-function-swap-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-function-swap-bug-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dipudl/codeT5-DistilBERT-function-swap-bug-model: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/dipudl/codeT5-DistilBERT-function-swap-bug-model/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://dipudl/codeT5-DistilBERT-function-swap-bug-model@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dipudl/codeT5-DistilBERT-function-swap-bug-model/resolve/refs%2Fpr%2F1/training_args.bin
3.31 kB
- Xet hash:
- ebbd5e3d1616d051472a517d76562f20d06f7981cf86ab9fc09af89bd05ba9b9
- Size of remote file:
- 3.31 kB
- SHA256:
- 305ef7ac2f4317b349b02f1eb96824c26c254a6a94f22dc41506db2c69585ac6
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