Transformers
PyTorch
TensorBoard
t5
text2text-generation
dis2py
Generated from Trainer
text-generation-inference
Instructions to use simonnedved/codet5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonnedved/codet5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("simonnedved/codet5-base") model = AutoModelForSeq2SeqLM.from_pretrained("simonnedved/codet5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d44b9c4d7106a0b96bcefefae9cbb799ae1f0017e91facdc5a3ca672852a854f
- Size of remote file:
- 892 MB
- SHA256:
- 578585fda9cc8cfd422c91711657206306450863acac89020f6e3b6bfa90f7ad
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