Instructions to use saumyasinha0510/MT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saumyasinha0510/MT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saumyasinha0510/MT5") model = AutoModelForSeq2SeqLM.from_pretrained("saumyasinha0510/MT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 727f32376bf829b6c23d57985279343a43da1afd6ecf5dae47bd1608e7b59035
- Size of remote file:
- 16.3 MB
- SHA256:
- 7723ef4657f28d318b7de49edfa0fddff5ac8cedca4747782d597d10b416d58b
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