Instructions to use BienKieu/codeT5base_SI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5base_SI with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5base_SI") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5base_SI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8978a16c74a3bed4b4a80b0fcb0b1fffda8e720ca060cf9c29178275bbcd1368
- Size of remote file:
- 892 MB
- SHA256:
- e5bd399adbc0e9f5aeb202d56c48a6e3855f8ab2feb85ccbeebcee13b3cda9c7
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