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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62f660add988d6fcac4b176910aa2be75c36a0b78362940ac7d39adc7eccd574
- Size of remote file:
- 966 MB
- SHA256:
- d2e64c4e5ac78b4f8510c4bf32d017c8e3b5e4ef5d4514608065632dd3853fb7
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