Instructions to use Ayon128/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayon128/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayon128/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Ayon128/mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97c8a037e27cdb23c06714a911111e6b6074364e576c2c5c5fcb06bbda4a175d
- Size of remote file:
- 4.16 kB
- SHA256:
- 5032b2d982cbbd9b103fd098824953c5cc213cd03cdd4ff075ea87c9f2c8946a
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