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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("flax-community/code-mt5-base-batch-mix") model = AutoModelForMultimodalLM.from_pretrained("flax-community/code-mt5-base-batch-mix") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e221bf4e4e19a120628ed99b90b632649174ecec17b339f9c55d49dc70d889d9
- Size of remote file:
- 966 MB
- SHA256:
- 8fa597a097a7193fa63cbc55a5b0ba1248acb7bbfe97a779e2431216ad56ccc8
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