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:
- 78d0465618bd18b0f3c743d0939cf64d47413e003c1e5ada9d164bce7bb65423
- Size of remote file:
- 1.13 GB
- SHA256:
- 9fab5238e877bf126662539b7f984b3a2b1d9d44f595b79fe7653f6439215b21
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