Instructions to use lucasnobre212/description-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucasnobre212/description-test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lucasnobre212/description-test") model = AutoModelForSeq2SeqLM.from_pretrained("lucasnobre212/description-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91c4aca4a323ce179dfe97090ed6d42b44f0d6e7b8d92d76e8b97ff3f1390372
- Size of remote file:
- 308 MB
- SHA256:
- e25e96cacb8e4908b1a382d17d17b0c405cccb59fc6d21a743651dd05dc7695a
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