Instructions to use Care4langGW/BioBart_Large_Dialouge_Summarization_taskA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Care4langGW/BioBart_Large_Dialouge_Summarization_taskA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Care4langGW/BioBart_Large_Dialouge_Summarization_taskA") model = AutoModelForSeq2SeqLM.from_pretrained("Care4langGW/BioBart_Large_Dialouge_Summarization_taskA") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:10a1cd417054e48366af6d6554e3d884f8b81cee5367e06f10491291a9f9c27b
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size 1625426996
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