Instructions to use NIRVLab/ViEde with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NIRVLab/ViEde with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NIRVLab/ViEde") model = AutoModelForSeq2SeqLM.from_pretrained("NIRVLab/ViEde") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c72121af51a0147d44cc8c9797e20177dd26bba6c0fbf4820b2e29df8ae6d3b3
- Size of remote file:
- 5.97 kB
- SHA256:
- b1f99b99617b9248d09dde22817ab501087b984d65286c66bd795feb46fdc3d9
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