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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19dd2c4aa076bc61bb00f7608ce45cc03bc328db5e3a854a09922a74332011b4
- Size of remote file:
- 966 MB
- SHA256:
- e832638c7162bee977f5c3c06aa39ae8ec11e990b67972aa892bd656314d1a69
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