Instructions to use StopFuture/borshch_25_future_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/borshch_25_future_8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/borshch_25_future_8") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/borshch_25_future_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18dc5ba9e2f214c8665536ac0a26468a2ffbe1d0df06f9b839f89cbc77378dd5
- Size of remote file:
- 2.44 GB
- SHA256:
- c7c04deee342eb14f6068121a5e0537cfbaf6462d05e8b94d1695ab6a9b17292
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