Instructions to use flax-community/code-mt5-base-batch-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/code-mt5-base-batch-mix with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/code-mt5-base-batch-mix") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/code-mt5-base-batch-mix") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f760a61804c48165fc6726b1e1532139d00f52408881cfd4790b9b4380d5f4fc
- Size of remote file:
- 966 MB
- SHA256:
- fe84a5122596c216212e29c1069c40a15ba4fcbea0994139d9cde6866346eee3
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