Instructions to use FiveC/BartTayFinal-insert-swap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/BartTayFinal-insert-swap with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/BartTayFinal-insert-swap") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/BartTayFinal-insert-swap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08c825e792f0ffdae4ef8921caa58df393ce9e975ead1cc020c543f8e094dd98
- Size of remote file:
- 6.03 kB
- SHA256:
- 8c43421d011fc4ab6a91d0c4ca86d8561c20661aac658ab38061988e90450146
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