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:
- f0207f9d8488dd69188c5174ae7447894e014142f90175ba5a9774bbe1b1d372
- Size of remote file:
- 966 MB
- SHA256:
- 87a6643c64e2fb3b149b525d0a4db9c521b6641fdbfa64be12861f3e92c06646
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