Instructions to use niuca/DeepDebug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use niuca/DeepDebug with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("niuca/DeepDebug") model = AutoModelForSeq2SeqLM.from_pretrained("niuca/DeepDebug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from niuca/DeepDebug: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/niuca/DeepDebug/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://niuca/DeepDebug/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/niuca/DeepDebug/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 8e5d947b6408bd8b42961df20d146e48be2ef76bf61afce6eecc49a084aa0eb1
- Size of remote file:
- 892 MB
- SHA256:
- 45c0c99e3383b41b2708cd155f98836d771fa5f6af75d4ad7a428410877ec160
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