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 model.safetensors from circlemachinelearning/bart-email-multitask: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/model.safetensors
- Command line
-
hf download hf://circlemachinelearning/bart-email-multitask/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/circlemachinelearning/bart-email-multitask/resolve/main/model.safetensors
1.63 GB
- Xet hash:
- 7ae16a27397bdc19e617825fb40d7468c51a1f0f477a4d8230161d90ba4e50cf
- Size of remote file:
- 1.63 GB
- SHA256:
- 067b8a7c716303526670dfb8bc56fae03cdbbf29ed37d4991fe64c928e0bdbd0
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