Instructions to use sczzz/coderpp_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sczzz/coderpp_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sczzz/coderpp_new")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sczzz/coderpp_new") model = AutoModel.from_pretrained("sczzz/coderpp_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b87f9118f2b07a1ca60756a2a61164e904e0a1439de7bb9409f559ebc82950c8
- Size of remote file:
- 438 MB
- SHA256:
- 5690746846085033daf32be493b7c05cdad7343f887d35aab146ff631effda4e
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