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:
- 775125a56cd81519386a4b2837dcebf041726388411b3bdff6d63a06b310e4d1
- Size of remote file:
- 892 MB
- SHA256:
- 5687ce07c302bd5ac1a1d522cfe76e93ce8a9fe9415adf8ca039d033c288b495
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