Instructions to use abhi11nav/CodeT5_adc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi11nav/CodeT5_adc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi11nav/CodeT5_adc") model = AutoModelForSeq2SeqLM.from_pretrained("abhi11nav/CodeT5_adc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81bdf3367b869796f38ad2edef99fb49dfea122f2fffae150455d64536addf80
- Size of remote file:
- 1.78 GB
- SHA256:
- b3d3536d467ffff3c93f67508c5ef6ed1c04252addaf2a05ac28bcb12ba95531
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