Instructions to use simonnedved/codet5-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonnedved/codet5-large-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("simonnedved/codet5-large-v2") model = AutoModelForSeq2SeqLM.from_pretrained("simonnedved/codet5-large-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 076af26f8f8d8b5cc3c8f54eda624e5c8edc7c6b68e180c94eeb42b72b67f919
- Size of remote file:
- 3.12 kB
- SHA256:
- 4b0ab7db81e7f530b28d38c4aacc755df3e3a2a414ea17874350d4982c40a091
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