Instructions to use krotima1/BARF-Loop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krotima1/BARF-Loop with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("krotima1/BARF-Loop") model = AutoModelForSeq2SeqLM.from_pretrained("krotima1/BARF-Loop", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 773a839aeff29a0adb23f6fda62dc1f434020e00cdd0caf9364d7388a7a8fbf7
- Size of remote file:
- 17.1 MB
- SHA256:
- 38b3004fa5fc8a558c596daa5e2acbbd039a24ac8a144361ac6cfb5da8c08b93
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