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/scaler.pt from circlemachinelearning/bart-email-multitask: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/last-checkpoint/scaler.pt
- Command line
-
hf download hf://circlemachinelearning/bart-email-multitask/last-checkpoint/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/last-checkpoint/scaler.pt
1.38 kB
- Xet hash:
- ad11694ec178508bcf93e1dfe3d7f2e3fa9330224848f2cad905383260e249c9
- Size of remote file:
- 1.38 kB
- SHA256:
- 2fbf1b07c041b197423e5d1ffb8c16c75724e39b14f67ac144d57b7027705d1c
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