Instructions to use research-backup/mt5-base-trimmed-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/mt5-base-trimmed-ko with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("research-backup/mt5-base-trimmed-ko") model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/mt5-base-trimmed-ko") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0495313fc6b24afa107f3d3a595767cbf72f87f1d4d673f030e2dc9e0c31d937
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size 1243649968
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