Instructions to use Hydroflu/RL_ft_t5_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hydroflu/RL_ft_t5_inversion with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hydroflu/RL_ft_t5_inversion") model = AutoModelForSeq2SeqLM.from_pretrained("Hydroflu/RL_ft_t5_inversion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39a0908b0319fbcf4b677b429f1512f49f6c745f3d9b235bc2562333baca2de1
- Size of remote file:
- 242 MB
- SHA256:
- c07385e6224a324fc0e2d94cb47096b21ad53610274c1dddc2d6b0f52362cb5e
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