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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52bdb34a42132f1f2e107cdef8b8d944884125902108e3837db214330ffdbec1
- Size of remote file:
- 1.2 GB
- SHA256:
- 9daa76f0231b96162833ebfee26e886a781b72e0d95ad1a1826b9147a74a939a
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