Instructions to use ishwarbb23/ft5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishwarbb23/ft5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ishwarbb23/ft5") model = AutoModelForSeq2SeqLM.from_pretrained("ishwarbb23/ft5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88b649f8817bf2e37f8277e66162832132bcc6a209f685bda2d942cadcbe77fe
- Size of remote file:
- 892 MB
- SHA256:
- 86f214ade6dad01310faee0cc6d262f368552bacda25fc49cc00baec786c568b
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