Instructions to use NitzanBar/t5_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NitzanBar/t5_long with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NitzanBar/t5_long") model = AutoModelForSeq2SeqLM.from_pretrained("NitzanBar/t5_long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f54e9c1fb08481e6a9914c14f05ca04033f3130cefe555cc656bfd73f51e0c03
- Size of remote file:
- 6.39 kB
- SHA256:
- e2d6fa7de00dc289c22d89c94fd745e921df288b1df1df012d86f731fb9bcd47
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