Instructions to use InfurnusWolf/coding_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfurnusWolf/coding_summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("InfurnusWolf/coding_summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("InfurnusWolf/coding_summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee33e1f1c5e5e283fdc6e1f0582251283a329bdb08f440024003489d2f095ad9
- Size of remote file:
- 242 MB
- SHA256:
- dff524bfbb0dad6ecaacb556ce32a0ab12340a0d766dc50e4ba89ee007773bed
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