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:
- eb6d269023d408f89e89477a22287520e65d5a1817a3b78cd1303020f09c7df8
- Size of remote file:
- 966 MB
- SHA256:
- ac9b7be63d8657028623c0dd16742a10dee4da568751bf09d5a62833072ff217
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