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 pytorch_model.bin from dipudl/codeT5-DistilBERT-function-swap-bug-model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/dipudl/codeT5-DistilBERT-function-swap-bug-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dipudl/codeT5-DistilBERT-function-swap-bug-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dipudl/codeT5-DistilBERT-function-swap-bug-model/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- f7f5df5df4289b9aaed5866f22bfd3bdc575e7307c14dd5cacb5ec96cc404c3a
- Size of remote file:
- 268 MB
- SHA256:
- f96cf914531f90d715b2e06d0ec5969a3ec9906560633d7523acbe452dc74767
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