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:
- 9c9670a075189baf4c083156cb10007356ca74308c3af47649b7d7c6ff5e6e6d
- Size of remote file:
- 892 MB
- SHA256:
- e0de89bddef968293d879f66534f1386db27930d3997cee083e7c84e9f54d345
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