Instructions to use MingZhong/unieval-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingZhong/unieval-sum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MingZhong/unieval-sum") model = AutoModelForSeq2SeqLM.from_pretrained("MingZhong/unieval-sum") - Notebooks
- Google Colab
- Kaggle
getting error when loading the model "pytorch_model.bin" not found
#5 opened about 1 year ago
by
gmu-czi
Adding `safetensors` variant of this model
#4 opened about 1 year ago
by
SFconvertbot
If I don't have a ref_list when doing 'Summarization' tasks, only a model output_list, is that setting the ref_list as an empty list?
#2 opened over 2 years ago
by
Lily912
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot