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
ckpt
Browse files- pytorch_model.bin +0 -0
- special_tokens_map.json +0 -0
- spiece.model +0 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
pytorch_model.bin
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special_tokens_map.json
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spiece.model
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tokenizer.json
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tokenizer_config.json
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