Instructions to use ekojs/cscomm-t5-small-unla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekojs/cscomm-t5-small-unla with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ekojs/cscomm-t5-small-unla") model = AutoModelForSeq2SeqLM.from_pretrained("ekojs/cscomm-t5-small-unla") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26a5aec29cbfca3f6c137c02a33617f5649e8c4ac803dbc7cd9b3dce3ae0840b
- Size of remote file:
- 308 MB
- SHA256:
- ad82ab964d6984a3c43b8de6bbbe8c5476e3083eb1c5a517b822d2af11f308f3
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