Instructions to use Tippawan/mt5-mt-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tippawan/mt5-mt-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tippawan/mt5-mt-1") model = AutoModelForSeq2SeqLM.from_pretrained("Tippawan/mt5-mt-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e4511198563026c97d7685c069c6fc602f83635e8033dfddbbcc46aa4c3115e
- Size of remote file:
- 16.4 MB
- SHA256:
- bfad9e2cfe7582477bce420b47a55a5e0bd54e77f69c794560a9f6a910ddaeea
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