Instructions to use google/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 911f181cd6f7882a90f4d1309d82e78a222b30c43a96dcfeee60fb24f277f1bd
- Size of remote file:
- 2.33 GB
- SHA256:
- 180573b534144580f04af026da62bf71bc976ee1b7eb311b8945e2fefde8d614
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