Instructions to use RDCPP/bart_en2de_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RDCPP/bart_en2de_training with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RDCPP/bart_en2de_training") model = AutoModelForSeq2SeqLM.from_pretrained("RDCPP/bart_en2de_training") - 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 sha256:8523f0d3473a8e90616ff806d5f386c0f3e63aa5769df61e1dcf2d6bfc8dacc8
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size 1625423320
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