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:
# pip install -U transformers accelerate # 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
Download last-checkpoint/training_args.bin from circlemachinelearning/bart-email-multitask: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://circlemachinelearning/bart-email-multitask/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/last-checkpoint/training_args.bin
6.03 kB
- Xet hash:
- 3f7d075588893e3a8f0e146fe2f045481186883de2c12d8f70f99c53285a8066
- Size of remote file:
- 6.03 kB
- SHA256:
- 19ffefef99189ef3675e3a83b1d4b98cef78e97ab875630a491095265a0370a0
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