Instructions to use muibk/t5_emea_20k_en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muibk/t5_emea_20k_en-de with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("muibk/t5_emea_20k_en-de") model = AutoModelForSeq2SeqLM.from_pretrained("muibk/t5_emea_20k_en-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:bffa07c486df1bbb5a89633df0dca65fbfa9c17bc001b407c4e5d61b10d79dd7
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size 242042016
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