Instructions to use dzinampini/code-to-json-documentor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzinampini/code-to-json-documentor with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dzinampini/code-to-json-documentor") model = AutoModelForSeq2SeqLM.from_pretrained("dzinampini/code-to-json-documentor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9c7d5a638156dac2328b8621afc71cbc3cd0d8dd48d269577956043506c2797
- Size of remote file:
- 242 MB
- SHA256:
- 875cfa4f0b7a82962a5cc48c683a3264b0ccc15b60f8c17ce1cfbf7fe1dd14d6
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