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:
- 9e73e03a5c01cd17b03e2af80617a87a001385c15c3c706ac024dc2712fbdab8
- Size of remote file:
- 1.52 GB
- SHA256:
- 9cdd79a097b8bec9d8985d53520698fb1d29522314e57e134a6dc05863727654
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