Instructions to use lenguist/mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lenguist/mt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lenguist/mt5") model = AutoModelForSeq2SeqLM.from_pretrained("lenguist/mt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f79f90b8898467f0d9c65ed60e8aa551bfe20be9690c81dff81c12e4331178e9
- Size of remote file:
- 2.33 GB
- SHA256:
- b50c38757e3c0e56ac3207d00d06461eb62d6023fce5a621b747ee8d5d253b0d
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