Instructions to use Hydroflu/rl_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hydroflu/rl_inversion with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hydroflu/rl_inversion") model = AutoModelForSeq2SeqLM.from_pretrained("Hydroflu/rl_inversion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9529a8ff50700c6abf17f44592859db6a961a9daa3359233f2dc2738059d2730
- Size of remote file:
- 892 MB
- SHA256:
- 529e5dc2b97aafba9914eb24760f826ff8de8dd74cfd5dc0fad71d1769594edc
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