Instructions to use emilstabil/mt5-large_V8901_V89881 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilstabil/mt5-large_V8901_V89881 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emilstabil/mt5-large_V8901_V89881") model = AutoModelForSeq2SeqLM.from_pretrained("emilstabil/mt5-large_V8901_V89881") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2324d1993bd508ad518c458544e514b0b879e9640524c24764709cf36cf8b204
- Size of remote file:
- 4.92 GB
- SHA256:
- dcb1655ab31662149063089fdf887cd6bf911005c46da7b63929ecfbd5634c32
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