Instructions to use flax-community/code-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/code-mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/code-mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/code-mt5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f1747560a4023b37de35a19a6af1bf185717fe470ed75dc624e225a237dd240
- Size of remote file:
- 966 MB
- SHA256:
- 038eff01398367eb98e7785ac7fc14f6b92ee6aef408a32f824b38f3f5783cff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.