Instructions to use abhi11nav/GraphCodebert-gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi11nav/GraphCodebert-gpt2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi11nav/GraphCodebert-gpt2") model = AutoModelForSeq2SeqLM.from_pretrained("abhi11nav/GraphCodebert-gpt2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a08e667c18e8ef2ed67c81f90d803baaf2f2144945650fa67277d75301d7f3f4
- Size of remote file:
- 1.14 GB
- SHA256:
- 4bed5a4d06ab808f424ffeb1938bcd499cef0612bc43ab310c9c57fde1da24a1
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