Instructions to use Unggi/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unggi/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Unggi/results") model = AutoModelForSeq2SeqLM.from_pretrained("Unggi/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d03a8c86765354b97d2322ab931d11a48c89b051aee79eb49ac226c58e75b02e
- Size of remote file:
- 1.05 MB
- SHA256:
- 2e2aa1fd7ae83295f9cb17b6af35f888da2ee58d021a7f9750856a574fba96fe
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