Instructions to use research-backup/mt5-base-trimmed-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/mt5-base-trimmed-ru with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("research-backup/mt5-base-trimmed-ru") model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/mt5-base-trimmed-ru") - 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 sha256:228503651bf8686c495f86901ae56ab62d71449e445ac09aa3556f28627d2421
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size 1700757400
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