Instructions to use ncoop57/codeformer-code-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncoop57/codeformer-code-java with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ncoop57/codeformer-code-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ncoop57/codeformer-code-java: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/ncoop57/codeformer-code-java/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ncoop57/codeformer-code-java/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ncoop57/codeformer-code-java/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 651eea36d77aa8a589fd989404bc1889da5ef1e07830ce6c50d52c8a91f0a66d
- Size of remote file:
- 499 MB
- SHA256:
- 762d6291c2553d04b265be94345318e1ecef654165a5ee3a33f3965e9f07ed57
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