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:
- 455781dc5a662d43d7a13eeaaf4d4e3f4d8bb7d625d5d148e2d9bccd955d76c0
- Size of remote file:
- 966 MB
- SHA256:
- 9abc165b9fec10cf70c58eea9fa190de7eef44146ab0ead8fef468bc52525035
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