Instructions to use simonnedved/codet5-large-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonnedved/codet5-large-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("simonnedved/codet5-large-v1") model = AutoModelForSeq2SeqLM.from_pretrained("simonnedved/codet5-large-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fa0e42531f426aca500b6255fe6fa6869f001295959f53fb2f6964b19b32523
- Size of remote file:
- 892 MB
- SHA256:
- 5ea5d67586b76ea1b080a0e0bf819054dae8b18e0400875af13b62c3da7fc1e7
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