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:
- 0f41b839224a7f6a7b59b2ca8ee2314a2668e0d30ffbe885da461ee368631497
- Size of remote file:
- 966 MB
- SHA256:
- 76ea2aebaf209c95bf180d5ddd8a847012b8bb81148ef46d9400a5c92b41dc4d
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