Instructions to use research-backup/mt5-base-trimmed-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/mt5-base-trimmed-de with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("research-backup/mt5-base-trimmed-de") model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/mt5-base-trimmed-de") - 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:c30a1dda592eed1ce0f91932e1de73e70ee30068ea6b650483e528bd1013e77b
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size 1638469528
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