Instructions to use circlemachinelearning/bart-email-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circlemachinelearning/bart-email-multitask with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("circlemachinelearning/bart-email-multitask") model = AutoModelForSeq2SeqLM.from_pretrained("circlemachinelearning/bart-email-multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2195802fd9ef5cac6a34513a3d7dab2026ec31930509dd1ec0e4613960be732e
- Size of remote file:
- 14.6 kB
- SHA256:
- 25d54536c46c6f3683b9b736e1a9111acd8762892f281e07dc7a35213344cfda
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