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:
- 03d75883c131b6450cfa702a2ce5946fd7d094e09208b91fa119c999d9263d3b
- Size of remote file:
- 683 kB
- SHA256:
- 0b10f8f0b665bc4360663628c837df6509d3e3c83daa4a82210a6ecdea08dcc1
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