Instructions to use StopFuture/borshch_40_future_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/borshch_40_future_7 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/borshch_40_future_7") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/borshch_40_future_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f6b3a6da437200caae36aa4e513e31733b136328dc5362fd9908a0941bd16c6
- Size of remote file:
- 3.64 kB
- SHA256:
- 8e04418917ca2a4969028268287de5ae6fd475e0a1bb5b28eb07f095b1e1fe7a
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