Instructions to use swcrazyfan/KingJamesify-T5-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swcrazyfan/KingJamesify-T5-Base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("swcrazyfan/KingJamesify-T5-Base") model = AutoModelForSeq2SeqLM.from_pretrained("swcrazyfan/KingJamesify-T5-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a436c9ded850eeba1d43d7b6858254bf2476fa3f795ae356f28c862995e00831
- Size of remote file:
- 892 MB
- SHA256:
- 3d3a92bd36fdc7036b549e5127401e4c60b0e0ba4d7d3d1e1767fde65153777d
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