Instructions to use Davlan/oyo-mt-t5-tiny-v16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-mt-t5-tiny-v16k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-mt-t5-tiny-v16k") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-mt-t5-tiny-v16k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29edf225308e38b1a6fde92d098ee45a90db41c47288538159bf0460f6baa6af
- Size of remote file:
- 70.8 MB
- SHA256:
- eebe1bfadc0f2416164dec00101a8f89d32e8100ba8fa6db562d9792d14e90a7
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