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:
- dbf3f9f32659449305c5a398e40a47dde2c62ab8be07da6fe9ef1615709bc2e3
- Size of remote file:
- 966 MB
- SHA256:
- cb281ba98bce354df2dfefcda04cc61aec662cc3bee18236ec270c34f4c24542
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