Instructions to use NLPinas/EMoT5-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLPinas/EMoT5-en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NLPinas/EMoT5-en") model = AutoModelForSeq2SeqLM.from_pretrained("NLPinas/EMoT5-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e9979244b373675e383bbf1d2ccfe88601d93badbe95ff6c63e352aa6ecf9a9
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size 3132668896
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