Instructions to use Linhz/vit5_viquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linhz/vit5_viquad with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Linhz/vit5_viquad") model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/vit5_viquad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67e41ef058e7c4ef41a057eb6f8fbcf0c92a6e71b0af2667717b17e8837860e2
- Size of remote file:
- 4.16 kB
- SHA256:
- 1612b590ad3eccdb8c015a557b74fa5d75f9aed7c1a37c94ee84a6d637dab8c8
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