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:
- 3f38561eeee611a0fd16765e90b23305b38e7d83d57a2543d3f1b3c083f5056a
- Size of remote file:
- 966 MB
- SHA256:
- 25556a42248e258505d7e31aa90f1d05cea64b362a3646ec5956ee5fc135f09e
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