Instructions to use google/mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1507be6424f0b789f1a48325e909addbbd63cb5849b801dc02e6fb1bf639094e
- Size of remote file:
- 1.13 GB
- SHA256:
- 954a0ef0b71f2e66c13905aea8e805d4af96edcbfc76da3c9db0022791b62a3b
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