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:
- 88b418ce1cb8dc45e6292d39d679844ac9ca0c7288aeecdb8c60413bf2f5bb89
- Size of remote file:
- 1.58 GB
- SHA256:
- 037d9d37c3bd93610a63fb6c20284c2929de4822d827faa7f9afca556514d6ed
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