Instructions to use Suva/uptag-email-model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suva/uptag-email-model-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Suva/uptag-email-model-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Suva/uptag-email-model-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55dc8267b7cacd9b630b8451e8733cc719475be2967b40204ff5d1cdfe196b2a
- Size of remote file:
- 892 MB
- SHA256:
- 8dc35148a3d04e15ddd68e67df9c6e97ff41706153fae312de1d79dc8a5b80ae
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