Instructions to use janpase97/codeformer-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use janpase97/codeformer-pretrained with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("janpase97/codeformer-pretrained") model = AutoModelForSeq2SeqLM.from_pretrained("janpase97/codeformer-pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ce6ed279d04c861346982eacb2736bd55d2c1839171fcc033f3ff122f2d50ad
- Size of remote file:
- 1.52 GB
- SHA256:
- ba07330ecc1bf25da7c03e3e106ee512975ec5f1c18f84e3e5e056b5dbc8bcb5
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