Instructions to use EEsu/codeT5-adam-trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EEsu/codeT5-adam-trial with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EEsu/codeT5-adam-trial") model = AutoModelForSeq2SeqLM.from_pretrained("EEsu/codeT5-adam-trial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3c96c23951b67f78936818b7638091c3db2398d93c8e40d980e17366082a27f
- Size of remote file:
- 242 MB
- SHA256:
- 782341ed4d6165e7fd8d209d7ad03cc24ce52fb33f692e3081a749d4315a7e85
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