Instructions to use emilstabil/mt5-large_V8901 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilstabil/mt5-large_V8901 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emilstabil/mt5-large_V8901") model = AutoModelForSeq2SeqLM.from_pretrained("emilstabil/mt5-large_V8901") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1ccb7e1cfb69159f838497d894b657604c0132dab01e8d014a3887f5123f70b
- Size of remote file:
- 16.3 MB
- SHA256:
- 677062b5f598470e44d33871ccfbf866da35717630b8f3df59074cf219fd405a
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